SAS Education — Industry Sales Play Cards
Financial Services · Insurance · Health Care & Life Sciences · Public Sector · Internal Reference 2025
SAS Education — Analytics Transformation Enablement
These sales play cards position SAS Education not as "training services" but as analytics workforce transformation enablement — the strategic capability-building layer that accelerates SAS platform adoption, reduces time-to-productivity, and delivers measurable ROI across risk, fraud, AI, and operations teams. Select an industry to explore the full sales play.
Role-based learning paths
SAS Viya adoption acceleration
AI governance enablement
Certification & digital badges
Labs on Demand
From €1,000 / user / year
No minimum order
Financial Services
Risk · Fraud · AML · Compliance · Customer Analytics
→Insurance
Claims · Fraud · Underwriting · Actuarial · AI Governance
→Health Care & Life Sciences
Clinical · Population Health · FWA · Trials · AI Governance
→SAS® Education · Industry Sales Play
Financial Services Analytics Workforce Enablement
Accelerating Risk, Fraud, AML, Compliance & Customer Analytics Readiness with SAS
Financial Services is one of SAS's largest and most strategic verticals. Financial institutions rely on SAS to power risk modelling, fraud detection, AML, credit scoring, and regulatory reporting at enterprise scale.
With Basel IV, DORA, IFRS 9, and the EU AI Act reshaping the landscape, demand for explainable, governed analytics is accelerating — creating urgent pressure to build, upskill, and retain skilled analytics talent across risk, financial crime, and data teams.
Strategic Positioning
"Financial institutions are under constant pressure to modernize analytics capabilities while meeting evolving regulatory, fraud, AML, and customer experience demands. SAS Education Services positions analytics workforce enablement — not training — as the strategic layer that accelerates SAS Viya adoption and regulatory readiness."
Risk Modeling
Fraud Analytics
AML Workflows
Explainable AI
Model Governance
SAS Viya Operationalization
1Key Roles & Learning Needs— who SAS Education targets in financial services
Chief Risk Officer
Risk Management
Challenge
Model explainability & regulatory sign-off under Basel IV / IFRS 9
Learning Need
AI governance, risk model validation, regulatory reporting frameworks
SAS Topics
Risk ManagementAI for Leaders
Subscriptions
Quantitative Analyst
Risk / Treasury
Challenge
Slow model build-to-production cycle; PD/LGD accuracy under macro stress
Learning Need
SAS Viya modelling, advanced regression, forecasting, stress testing
SAS Topics
SAS ProgrammingForecasting & Econometrics
AML / Fraud Analyst
Financial Crime
Challenge
High false-positive rates; rising fraud sophistication; evolving AML typologies
Learning Need
ML for fraud detection, network analytics, real-time transaction scoring
SAS Topics
Fraud & Security IntelligenceAI & ML
Compliance Officer
Legal & Compliance
Challenge
Keeping pace with DORA, EU AI Act, Basel IV governance requirements
Learning Need
Explainable AI, model governance frameworks, regulatory audit trails
SAS Topics
AI for LeadersRisk Management
Subscriptions
Credit Risk Manager
Retail / Corporate Banking
Challenge
PD/LGD model accuracy under macro stress; IFRS 9 expected loss compliance
Learning Need
Predictive analytics, stress testing, SAS Viya portfolio analytics
SAS Topics
Predictive AnalyticsAdvanced Regression
Data / ML Engineer
Data & Technology
Challenge
Deploying models with zero IT overhead; MLOps maturity gaps
Learning Need
Data engineering, SAS Viya architecture, ModelOps & MLOps practices
SAS Topics
Data EngineeringArchitecture & Security
2Sales Play Card— financial services analytics transformation enablement
Business Challenges
Difficulty operationalising AI/ML models into production
Quant Analyst · Risk Mgr · CDAO
Increasing fraud sophistication & real-time detection demands
Chief Fraud Officer · AML Operations
Regulatory pressure — model explainability & governance
Compliance Officer · CRO
Shortage of experienced risk and fraud analytics talent
CIO · HR/L&D · CDAO
Long onboarding cycles — avg 6–9 months to quant productivity
HR/L&D · Head of Risk Analytics
Siloed analytics teams across risk, fraud, marketing & compliance
CIO · CDAO
Limited AI governance & responsible AI capabilities
Compliance · Model Risk Lead
Rising pressure to automate AML and KYC processes
AML Operations Director
Typical Financial Services Use Cases for SAS Analytics
Risk Management
Credit risk scoring & PD/LGD modelling
Stress testing & Basel IV / IFRS 9 reporting
Model Risk Management (MRM)
Fraud & AML
Real-time transaction fraud monitoring
AML suspicious activity detection
KYC / sanctions screening analytics
Account takeover & identity fraud prevention
Customer Intelligence
Customer segmentation & CLV analytics
Next-best-offer & churn prediction
Cross-sell / upsell optimisation
AI Governance & Operations
Model monitoring & explainable AI
AI governance workflows & ModelOps
Operational reporting automation
Education Role in Financial Services
Curated Risk & Fraud learning paths — SAS Viya risk modelling
AML & Financial Crime analytics — live web training for operations teams
AI governance & explainable AI workshops for compliance teams
ModelOps & MLOps training for model deployment teams
Private instructor-led quant analyst onboarding programmes
Certification tracks: Risk, Fraud & Security, AI & ML Professional
Key Differentiators
Financial services-specific curated paths built by SAS risk & fraud domain experts
360 SAS Education professionals including FSI domain specialists
Digital Badges & Certification to prove ROI to regulators
Labs on Demand — SAS Viya cloud, real datasets, zero IT setup
Integrated ModelOps & AI governance education for governed deployment
Role-based annual subscriptions from €1,000 / user / year
Strategic Value Proposition
Financial institutions face constant pressure to modernize analytics capabilities while meeting evolving regulatory, fraud, AML, and customer experience demands. Many institutions struggle with shortages of skilled analytics talent, slow onboarding of quantitative teams, and difficulty operationalizing AI and machine learning models across business units. SAS Education Services helps financial institutions accelerate workforce readiness — reducing time-to-productivity, improving SAS Viya adoption, strengthening regulatory readiness, and scaling analytics capabilities across the enterprise.
Training Outcomes
↓ReduceFraud Losses
↑IncreaseAnalyst Productivity
↓ReduceModel Deployment Time
↑IncreaseRegulatory Readiness
↑IncreaseAI Adoption
Risk · Marketing · Product Management · Customer Service
Give your teams the training they need to build strong, compliant analytics capabilities.
Whether you're onboarding new analysts or upskilling risk, anti-money laundering, fraud, and model-validation teams, our Subscriptions provide a cost-effective, scalable way to strengthen expertise and reduce operational and regulatory risk.
3Selling Motions— 3-tier engagement model · Content Subscription · Learning Subscription · Premium Learning Subscription
focused topic eLearning + Labs On Demand + Certification Preparation tests + 12 months subscription
Content Subscription
What's included
One focused topic area for On-demand eLearning — e.g. Risk Management, Fraud & AML Detection, AI Governance, or SAS Viya modelling for analysts and risk teams
Labs on Demand — hands-on SAS Viya labs using real-world financial datasets, zero IT setup required
Certification Preparation tests — to shorten the time to certification for quantitative analysts and risk professionals
12 months subscription — continuous access as SAS and regulatory requirements evolve
Best fit when the customer…
Has focused learning needs on a specific topic or domain
Is upskilling a small or targeted team, not enterprise-wide
Prefers self-paced, on-demand learning over scheduled sessions
Is certification-oriented in a single area (e.g. SAS Viya ML)
Is cost-sensitive and seeking a lower-cost entry point
Has independent, technically driven learners comfortable with labs
Unlimited eLearning catalog + Role-based learning path + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Learning Subscription
What's included
Unlimited eLearning across the full SAS catalogue — covering Risk Management, Fraud & AML, AI & ML, Data Engineering, and Regulatory Analytics
Labs on Demand — hands-on SAS Viya labs with real financial datasets for analysts, risk modellers, and compliance teams
Certification Preparation tests — to accelerate certification for quantitative analysts, model validators, and fraud professionals
Role-based learning paths curated for Risk, Fraud, AML, Compliance, and Customer Analytics teams
Min. order is one 5-user pack = 5 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Broad learning and upskilling needs across domains
Build expertise across SAS, AI, Data Analytics, and multiple technologies rather than a single topic area.
Enterprise-wide or large-scale learner groups
Need training for multiple teams or the whole enterprise.
Preference for self-paced, on-demand learning
Value flexibility to learn anytime, without scheduling instructor-led sessions.
Independent or technically driven learners
Comfortable learning autonomously with digital content and hands-on labs.
Certification-oriented learners
Aim to prepare for and pass certifications in a specific domain.
Organizations driving digital transformation & adoption
Accelerate adoption of SAS technologies and improve workforce capability at scale. Seek unrestricted access to the full SAS eLearning catalog to support evolving business and technical needs.
Unlimited eLearning catalog + LNA + Role-based learning path + Unlimited Live Web + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Premium Learning Subscription
What's included
Learning Needs Analysis (LNA) to map skill gaps
Unlimited Live Web Courses with SAS experts in various local languages and Unlimited eLearning courses with persona based learning paths — for upskilling analysts, risk teams, AML/fraud units, and model validators
Progress Reports and Learner Dashboards to track readiness, support compliance, and reduce model risk
Labs On-Demand, and digital badges to validate capabilities in regulated functions
Add Training Points (TRNPTS) for private/custom sessions, coaching, certifications
Certification Preparation tests — to shorten the time for Certification
Min. order: 2 × 5-user pack = 10 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Need to train at scale across teams
Wants to enable learning for multiple users, roles, or departments simultaneously.
Focus on continuous learning & adoption
Requires ongoing upskilling rather than one-off training interventions.
Diverse skill levels across users
Onboarding new users while also advancing experienced teams.
Preference for structured, role-based learning paths
Values guided learning journeys tailored to specific roles and competencies.
Hybrid learning culture
Prefers mix of live instructor-led sessions and self-paced learning.
Value Discovery Questions
1
What is the current balance of SAS vs Python/R skills on your analytics teams, and where is that creating friction in model delivery?
2
When a new risk or fraud model goes into production, who validates it — and what formal training have those validators received in model risk management?
3
How long does it take a newly hired quant analyst or data scientist to become independently productive on SAS Viya?
4
What percentage of your fraud and AML analysts can build, tune, and deploy machine learning models without external consultant support?
5
Are your risk modelling teams formally trained in SR 11-7, EBA MRM guidelines, or equivalent model governance frameworks?
6
How confident are your data scientists in explaining AI model decisions to risk committees, auditors, and regulators?
7
What structured enablement programme was put in place for users when SAS Viya was deployed — and how effective was it?
8
How are data engineers and platform administrators maintaining up-to-date SAS Viya infrastructure and administration skills?
9
Which teams are still producing manual or spreadsheet-based analysis that could be replaced with automated SAS Viya workflows?
10
What does your structured learning pathway look like for new joiners to the credit risk, fraud, or AML analytics teams?
11
How are AML compliance analysts being trained to work alongside AI-assisted transaction monitoring and network analytics?
12
Do your model validators have formal training in quantitative validation techniques — stress testing, back-testing, sensitivity analysis?
13
How much time do your risk analysts spend on data wrangling versus actual modelling — and is training addressing that imbalance?
14
Are treasury and capital markets teams trained in using SAS for stress testing, ICAAP/ILAAP, and interest rate risk modelling?
15
How do you currently upskill staff when new SAS modules, releases, or platform capabilities are deployed?
16
What proportion of your analytics budget is allocated to skills development versus technology licences?
17
How are you handling knowledge and skills risk when senior SAS experts leave the organisation or retire?
18
Do your executive sponsors — CRO, CDAO, CIO — have sufficient AI and data literacy to govern analytics programmes effectively?
19
How are business analysts and non-technical stakeholders being equipped to consume and act on SAS model outputs?
20
Are your fraud investigators trained to critically interpret model scores and alert logic, or do they treat the system as a black box?
21
What does career progression look like for SAS developers and analytics engineers — and does training support that pathway?
22
How frequently do you run model refresh cycles, and are your teams trained to execute full retraining pipelines independently?
23
Which regulatory certification or CPD requirements — for example model risk officers, AML compliance analysts — are creating structured training demand?
24
How are your data governance and lineage teams trained to ensure SAS Viya pipelines meet BCBS 239 and data quality standards?
25
Are customer analytics and next-best-action teams trained in SAS Customer Intelligence for personalisation and retention modelling?
26
How prepared are your teams for emerging regulatory obligations — DORA, Basel IV operational risk — that require new analytical capabilities?
27
What happens when a critical SAS expert is unavailable — do others have the cross-training to maintain business continuity?
28
How are you building a sustainable internal SAS community of practice with knowledge sharing, internal coaching, and peer learning?
29
Are your teams trained on modern SAS AI and ML capabilities, or are they still primarily applying traditional regression and scorecard techniques?
30
How do you manage learning continuity across offshore, nearshore, or outsourced analytical functions who use SAS on your behalf?
31
What training exists for migrating SAS 9 code, macros, and batch processes to SAS Viya — and who owns that transition programme?
32
How are your collections and recoveries analytics teams trained to use SAS for propensity modelling and treatment optimisation?
Buyer Personas
Executive Buyers
CROCDAOCCOCIOHead of Financial CrimeChief Fraud Officer
Operational Buyers
Head of Risk AnalyticsHead of Fraud AnalyticsModel Risk Management LeadAML Operations DirectorSAS Platform Owner
Users & Champions
Data ScientistsQuantitative AnalystsFraud InvestigatorsAML AnalystsCredit Risk AnalystsModel Validators
4Recommended Content Subscriptions— mapped to roles with direct links to learn.sas.com
€2,000/user/yr
Chief Risk OfficerQuantitative AnalystCompliance OfficerCredit Risk Manager
Start learning →
5Objection Handling— 20 ready responses to training investment pushbacks
❝ Training is too expensive — it's not in the budget. ❞
Training costs are fixed and predictable; skill gaps are not. The cost of unproductive SAS users, over-reliance on expensive consultants, delayed model deployments, and regulatory exposure from poorly governed models consistently exceeds the cost of a learning subscription. We can help you build a business case that quantifies the ROI — faster onboarding, reduced consulting spend, and faster time-to-value on your SAS investment.
👉 The question isn't whether training costs money — it's whether the skill gap costs more.
❝ We don't have time for training right now. ❞
This is the most common objection we hear — and it's usually a sign that the team is already stretched because they lack the skills to work efficiently. SAS learning subscriptions are entirely self-paced: users learn in short on-demand modules around their workload, not in week-long classroom blocks. Training doesn't take time from the business — it gives it back.
👉 Busy teams can't afford not to train — inefficiency compounds every day skills gaps go unaddressed.
❝ Our team already knows SAS. ❞
Knowing SAS and using it to its full capability are very different things. Most teams have strong expertise in a subset of features — often inherited from SAS 9 — and haven't explored SAS Viya's AI, ML, cloud-native, and open-source integration capabilities. Our skills assessments consistently show that even experienced SAS users unlock significant new productivity when they close those gaps. We can run a diagnostic to identify exactly where the opportunities are.
👉 Familiarity with a legacy tool is not mastery of the current platform — SAS Viya is a fundamentally different environment.
❝ We'll handle training internally. ❞
Internal training is valuable for orientation and culture — but it rarely delivers the technical depth or content currency that SAS-certified instruction provides. Your internal trainers also carry a significant opportunity cost: every hour they spend teaching is an hour they aren't delivering analytics. SAS Education content is built by the same people who build the software, updated with every platform release, and benchmarked against global delivery practice.
👉 Internal training scales awareness — SAS Education scales verified, production-ready capability.
❝ We can find free training on YouTube or online. ❞
Free content is unstructured, unvalidated, and disconnected from real SAS Viya lab environments. It doesn't come with certification pathways, role-based learning tracks, or any assurance that what's being taught applies to the version and configuration you're running. Our subscriptions provide SAS-curated content, sandboxed lab environments, and certification preparation — at a cost that is less per day than a single hour of external consultant time.
👉 Free content teaches concepts. SAS Education builds verified, tested, production-ready skills.
❝ We're going through a restructure — it's not the right time. ❞
Restructures are precisely when training investments pay off most. New teams need to ramp up quickly, critical knowledge walks out the door when people leave, and the organisation needs to demonstrate productivity from new structures fast. A learning subscription ensures skills continuity regardless of team changes — and locks in pricing before headcount is fully confirmed.
👉 Organisational change increases the urgency of skills investment — not the reason to defer it.
❝ We have a freeze on external spending. ❞
A discretionary spend freeze is understandable — but skills attrition doesn't pause during freezes. We can help you structure the investment as part of your existing SAS contract renewal or enterprise agreement, explore phased payment options, or position training as part of the SAS platform value-realisation plan. Training embedded in a platform agreement often bypasses discretionary spend controls entirely.
👉 A spending freeze stops new costs — it doesn't stop the skill gap from growing.
❝ We use Python and R now, not SAS. ❞
That's exactly where SAS Education adds value. SAS Viya supports Python, R, and SAS natively — and Python and R users benefit most from understanding how to deploy, govern, and monitor their models inside SAS Viya's model management and MLOps framework. We have dedicated learning paths for Python and R users working within or alongside SAS Viya — no prior SAS experience required.
👉 SAS Education isn't only for SAS programmers — it trains any analytical team to extract full value from SAS Viya.
❝ Training won't stick — people go back to their old ways. ❞
That's true of one-off classroom events delivered in isolation — which is why we don't just sell those. Learning subscriptions provide 12 months of continuous, on-demand access so skills are reinforced through repeated practice rather than forgotten after a week. We also support organisations in building internal communities of practice, role-based learning tracks, and manager frameworks to embed learning into day-to-day working habits.
👉 A single training event creates awareness. A 12-month learning subscription creates lasting behaviour change.
❝ We're waiting for the SAS platform to be fully deployed first. ❞
Training during deployment — not after — is the optimal approach. Users who are trained before go-live adopt faster, make fewer configuration errors, and generate value from day one. Every week of post-deployment delay is a week of underutilisation on a platform you're already paying for. We can align the learning subscription timeline to your deployment roadmap so users are ready on go-live day.
👉 Train before go-live, not after — adoption starts on day one, not after months of delay.
❝ We already have a training provider. ❞
We're not asking you to replace your general skills provider — we're asking who should train your teams specifically on SAS. SAS Education is the only provider with certified, platform-native content, direct access to SAS lab environments, and real-time input from SAS R&D on upcoming platform changes. For SAS-specific capability, no third-party provider can match the depth, accuracy, or content currency of what we deliver.
👉 Generic training providers can't keep pace with SAS platform releases — only SAS Education can.
❝ Our people are too senior for training. ❞
Senior professionals are often the most valuable audience for structured learning — because their time is expensive and their skill gaps have the greatest business impact. We have executive AI literacy programmes, architect-level SAS Viya content, model risk governance tracks, and advanced analytics paths designed specifically for senior practitioners. This is expert-level, role-appropriate capability development — not classroom basics.
👉 Senior people don't need less training — they need training that respects their expertise and targets the right gaps.
❝ We outsource analytics to a partner — training isn't relevant for us. ❞
Even when delivery is outsourced, your internal team needs sufficient SAS capability to brief partners effectively, review outputs critically, manage model risk, and avoid total dependency on a third party. Organisations regularly overpay for consulting because internal teams can't challenge, extend, or bring back work. A targeted internal skills investment reduces that dependency and gives you commercial leverage in partner negotiations.
👉 Outsourcing analytics without internal capability means you can never check the work — or bring it back in-house.
❝ We don't know what training our team actually needs. ❞
That's exactly the starting point for our engagement. We offer a Learning Needs Analysis (LNA) as part of our enterprise relationships — a structured process to assess current skills against your SAS use cases, identify gaps, and design a prioritised learning roadmap with measurable outcomes. You don't need to have the answer before engaging us — finding the answer is part of what we do.
👉 An LNA turns 'we don't know what we need' into a clear, costed skills roadmap in a matter of weeks.
❝ We tried SAS training before and it wasn't relevant. ❞
SAS Education has been substantially redesigned around SAS Viya and real-world industry use cases. If previous experiences were based on SAS 9 classroom delivery, the offering looks fundamentally different today: on-demand, role-based, lab-enabled, and aligned to the specific domains — risk, fraud, clinical, public sector — your teams work in every day. We'd welcome the opportunity to show you a live demo of the current catalogue before you make a judgement.
👉 The SAS Education of three years ago is not today's offering — it's worth a fresh look with current eyes.
❝ We need to get sign-off from procurement, IT, and L&D first. ❞
Absolutely — and we can actively support that process. We provide business case templates, ROI benchmarking data, SAS Education platform security and compliance documentation, and reference customers for every stakeholder. We work with procurement, IT, and L&D teams regularly and know what each group needs to approve confidently. Let's agree a timeline together and I'll make sure you have everything needed to move it forward smoothly.
👉 Don't let internal process create indefinite delay — give each stakeholder exactly what they need to say yes.
❝ We're already paying for SAS licences — training should be included. ❞
SAS software licences cover the right to use the platform — not the right to use it well. Just as a hospital pays separately for medical equipment and clinical training, the platform and the skills to maximise it are distinct investments. That said, we can explore embedding a learning subscription into your next SAS contract renewal so it sits within the overall platform investment and is treated as a single business case.
👉 A platform without trained users is a cost. A platform with trained users is a competitive asset.
❝ We're a small team — training doesn't scale for us. ❞
Small teams are often where training has the highest per-person impact — because there is no redundancy to absorb skills gaps. If one critical SAS expert leaves, is promoted, or is unavailable, the entire team is exposed. A learning subscription lets multiple team members cross-train simultaneously, build resilience, and grow capability progressively — without requiring a large cohort to justify the investment.
👉 Small teams can't afford skills single points of failure — a subscription is your resilience plan.
❝ ROI on training is hard to measure. ❞
Measuring learning ROI requires intention — but it's entirely achievable. We work with customers to define upfront metrics: reduction in onboarding time, decrease in consultant spend, increase in model deployment frequency, SAS certification achievement rates, and platform feature adoption scores. SAS Education provides learning analytics dashboards so managers can track completion, progress, and engagement in real time. We can co-design a measurement framework at the start of the engagement.
👉 If you don't measure training ROI, you'll never know whether the skill gap is costing more than the training.
❝ Our staff will leave after we train them. ❞
The alternative — not training them — virtually guarantees they will leave sooner, and that the ones who stay will underperform on a platform they can't fully use. Research consistently shows that learning and development investment is one of the top drivers of retention among analytics and data science professionals. Organisations that invest in skills attract stronger talent, retain it longer, and build a reputation as a place where technical professionals grow.
👉 Trained people may leave — but untrained people leave faster, and the ones who stay cost you more.
SAS® Education · Industry Sales Play
Insurance Analytics Workforce Enablement
Accelerating Risk, Claims, Fraud & AI Readiness with SAS
Insurance organizations are rapidly modernizing underwriting, claims, actuarial, and customer analytics capabilities while navigating increasing regulatory scrutiny, rising fraud exposure, and growing demand for AI-driven decision-making.
Many insurers face challenges scaling analytics talent, operationalizing AI models, and enabling business teams to adopt advanced analytics platforms such as SAS Viya across claims, underwriting, and actuarial functions.
Strategic Positioning
"SAS Education Services should be positioned not as training but as insurance analytics transformation enablement — the workforce readiness layer that accelerates claims automation, fraud detection, underwriting optimization, and AI governance across the enterprise."
Claims Analytics
Fraud Detection
Actuarial Modeling
Underwriting Optimization
AI Governance
ModelOps
1Key Roles & Learning Needs— who SAS Education targets in insurance
Chief Risk Officer
Risk Management
Challenge
Model governance & regulatory explainability under Solvency II / IFRS 17
Learning Need
AI governance, model validation, Solvency II reporting frameworks
SAS Topics
Risk ManagementAI for Leaders
Subscriptions
Chief Actuary
Actuarial
Challenge
Slow pricing model deployment; loss forecasting accuracy under volatility
Learning Need
SAS Viya actuarial modelling, loss forecasting, reserving analytics
SAS Topics
Predictive AnalyticsAdvanced Regression
Head of Claims Fraud
Claims / Financial Crime
Challenge
Rising fraud leakage; manual investigation bottlenecks; provider fraud
Learning Need
Claims fraud ML, behavioral anomaly detection, provider fraud analytics
SAS Topics
Fraud & Security IntelligenceAI & ML
Chief Underwriting Officer
Underwriting
Challenge
AI adoption in risk scoring & pricing; underwriting automation gaps
Learning Need
Underwriting analytics, risk segmentation, predictive pricing with SAS Viya
SAS Topics
Predictive AnalyticsVisual Analytics
Head of Claims Analytics
Claims Operations
Challenge
Claims leakage; slow triage; reserve estimation inaccuracy
Learning Need
Claims severity prediction, straight-through processing, SAS Viya
SAS Topics
Statistics FoundationsSAS Viya
Data / ML Engineer
Data & Technology
Challenge
Deploying models with zero IT overhead; legacy environment modernisation
Learning Need
Data engineering, SAS Viya architecture, MLOps practices
SAS Topics
Data EngineeringArchitecture & Security
2Sales Play Card— insurance analytics transformation enablement
Business Challenges
Rising claims fraud leakage and manual investigation inefficiency
Chief Claims Officer
Difficulty operationalising AI/ML models into production
Data Science Director
Shortage of experienced actuarial and analytics talent
Chief Actuary · HR/L&D
Increasing regulatory pressure — model governance & explainability
CRO · Compliance
Siloed analytics across claims, underwriting, and actuarial teams
CDAO · CIO
Limited AI adoption in underwriting automation & claims decisioning
Chief Underwriting Officer
Manual and time-intensive claims investigation processes
Head of Claims Analytics
Typical Insurance Use Cases for SAS Analytics
Claims Analytics
Claims severity prediction & triage
Claims leakage detection
Straight-through processing automation
Reserve estimation analytics
Fraud Detection
Claims fraud & provider fraud analytics
Behavioral anomaly detection
Suspicious claims pattern identification
Underwriting & Actuarial
Risk scoring & pricing optimisation
Loss forecasting & reserving analytics
Solvency & catastrophe modelling
AI Governance & Operations
Model monitoring & explainable AI
Model Risk Management (MRM)
AI governance workflows & ModelOps
Education Role in Insurance
Curated Claims, Fraud & Underwriting analytics learning paths
Actuarial modelling & SAS Viya deployment workshops
AI governance & explainable AI education for compliance teams
Private instructor-led analyst & actuary onboarding programmes
ModelOps & MLOps training for model deployment teams
Certification tracks: Insurance Analytics, AI & ML, Risk Management
Key Differentiators
Insurance-specific paths built by SAS claims & actuarial domain experts
360 SAS Education professionals with insurance industry experience
Digital Badges & Certification to demonstrate model governance
Labs on Demand — SAS Viya cloud, real datasets, zero IT setup
Integrated ModelOps & AI governance education
Role-based annual subscriptions from €1,000 / user / year
Strategic Value Proposition
Insurance organizations face mounting pressure to modernize analytics while managing fraud exposure, regulatory scrutiny, and digital transformation demands. SAS Education Services helps insurers accelerate analytics maturity — reducing onboarding time, improving AI and SAS Viya adoption, and scaling capabilities across underwriting, claims, and actuarial teams through role-based enablement programs focused on the skills that matter most.
Training Outcomes
↓ReduceClaims Leakage
↓ReduceFraud Losses
↑IncreaseUnderwriting Accuracy
↑IncreaseAnalyst Productivity
↑IncreaseAI Adoption
Claims · Fraud · Underwriting · Actuarial · Risk Management
Give your insurance teams the training they need to build strong, compliant analytics capabilities.
Whether you're onboarding new actuaries, claims analysts, or upskilling fraud detection and underwriting teams, our Subscriptions provide a cost-effective, scalable way to strengthen expertise and reduce operational and regulatory risk.
3Selling Motions— 3-tier engagement model · Content Subscription · Learning Subscription · Premium Learning Subscription
focused topic eLearning + Labs On Demand + Certification Preparation tests + 12 months subscription
Content Subscription
What's included
One focused topic area for On-demand eLearning — e.g. Fraud & Security Intelligence, Risk Management, Predictive Analytics for Claims, or Actuarial modelling with SAS Viya
Labs on Demand — hands-on SAS Viya labs using insurance-relevant datasets for claims, underwriting, and fraud scenarios
Certification Preparation tests — to shorten the time to certification for claims analysts, actuaries, and underwriting professionals
12 months subscription — continuous access as SAS capabilities and insurance regulations evolve
Best fit when the customer…
Has focused learning needs on a specific topic or domain
Is upskilling a small or targeted team, not enterprise-wide
Prefers self-paced, on-demand learning over scheduled sessions
Is certification-oriented in a single area (e.g. SAS Viya ML)
Is cost-sensitive and seeking a lower-cost entry point
Has independent, technically driven learners comfortable with labs
Unlimited eLearning catalog + Role-based learning path + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Learning Subscription
What's included
Unlimited eLearning across the full SAS catalogue — covering Fraud Detection, Risk Management, Actuarial Analytics, Underwriting, and Claims Intelligence
Labs on Demand — hands-on SAS Viya labs with insurance-relevant scenarios for claims analysts, actuaries, and fraud investigators
Certification Preparation tests — to accelerate certification for underwriting, actuarial, and fraud analytics professionals
Role-based learning paths curated for Claims, Fraud, Underwriting, Actuarial, and Risk Management teams
Min. order is one 5-user pack = 5 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Broad learning and upskilling needs across domains
Build expertise across SAS, AI, Data Analytics, and multiple technologies rather than a single topic area.
Enterprise-wide or large-scale learner groups
Need training for multiple teams or the whole enterprise.
Preference for self-paced, on-demand learning
Value flexibility to learn anytime, without scheduling instructor-led sessions.
Independent or technically driven learners
Comfortable learning autonomously with digital content and hands-on labs.
Certification-oriented learners
Aim to prepare for and pass certifications in a specific domain.
Organizations driving digital transformation & adoption
Accelerate adoption of SAS technologies and improve workforce capability at scale. Seek unrestricted access to the full SAS eLearning catalog to support evolving business and technical needs.
Unlimited eLearning catalog + LNA + Role-based learning path + Unlimited Live Web + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Premium Learning Subscription
What's included
Learning Needs Analysis (LNA) to map skill gaps
Unlimited Live Web Courses with SAS experts in various local languages and Unlimited eLearning courses with persona based learning paths — for upskilling actuaries, claims analysts, fraud detection, and underwriting teams
Progress reports and dashboards to track readiness, support compliance, and reduce operational risk
Labs On-Demand, and digital badges to validate capabilities in regulated insurance functions
Add Training Points (TRNPTS) for private/custom sessions, coaching, certifications
Certification Preparation tests — to shorten the time for Certification
Min. order: 2 × 5-user pack = 10 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Need to train at scale across teams
Wants to enable learning for multiple users, roles, or departments simultaneously.
Focus on continuous learning & adoption
Requires ongoing upskilling rather than one-off training interventions.
Diverse skill levels across users
Onboarding new users while also advancing experienced teams.
Preference for structured, role-based learning paths
Values guided learning journeys tailored to specific roles and competencies.
Hybrid learning culture
Prefers mix of live instructor-led sessions and self-paced learning.
Value Discovery Questions
1
How confident are your actuaries in using SAS for predictive modelling beyond traditional chain-ladder reserving techniques?
2
What training exists for underwriters to understand, trust, and challenge AI-assisted pricing recommendations generated by SAS models?
3
How are claims handlers being trained to interpret fraud scoring outputs and act on AI-driven triage and prioritisation in SAS?
4
When a new pricing or reserving model is deployed, what structured handover and user training programme exists for operational teams?
5
How mature is the data science capability within your actuarial function — and what is the current SAS skills profile of that team?
6
Are your modellers trained in both traditional GLM and generalised additive methods and modern gradient boosting and neural network techniques within SAS Viya?
7
How long does it take a new data scientist or actuarial analyst to become productive within your SAS Viya environment?
8
Are your claims analytics teams trained to run, interpret, and communicate loss development and IBNR models to senior stakeholders independently?
9
What training exists for IFRS 17 reporting — specifically around actuarial calculation engines, discount rate modelling, and SAS-based automation?
10
How are your Solvency II internal model teams maintaining technical competency as regulatory requirements and model standards evolve?
11
Do your telematics and connected-insurance teams have the SAS skills to build, validate, and monitor UBI pricing and risk models?
12
How are risk managers and senior actuaries being trained to translate SAS model outputs into clear board-level and executive reporting?
13
What structured learning pathway exists for junior actuarial students transitioning from traditional methods to data science and ML roles?
14
How are your SIU and fraud investigation teams being trained to work alongside AI detection models and network analytics in SAS?
15
Are your IT and platform teams trained to independently administer, patch, and maintain the SAS Viya environment and integrations?
16
How do you handle skills transfer and knowledge continuity when key SAS-certified staff leave or are promoted out of technical roles?
17
Are your customer retention and cross-sell teams trained in SAS for churn prediction, lifetime value modelling, and propensity scoring?
18
How are distribution, broker, and MGA analytics teams equipped to use SAS for portfolio performance monitoring and segmentation?
19
What training exists for catastrophe modelling and natural peril analytics teams using SAS for exposure aggregation and scenario analysis?
20
How are your data engineers trained in building, orchestrating, and maintaining SAS Viya data pipelines from diverse source systems?
21
Are business intelligence and reporting analysts trained to use SAS Visual Analytics for self-service dashboard creation and ad hoc analysis?
22
How are non-technical stakeholders in underwriting, claims, and finance being equipped to interpret analytics outputs and make data-driven decisions?
23
What investment has been made in structured upskilling following the migration or planned migration from SAS 9 to SAS Viya?
24
How are product managers and pricing directors trained to use analytics insights to design, stress-test, and launch new insurance products?
25
Are your compliance, internal audit, and governance teams trained to review, challenge, and validate SAS-based models under regulatory scrutiny?
26
How do you ensure learning continuity across outsourced analytical functions, third-party model vendors, or co-development partnerships using SAS?
27
Are your reinsurance analytics teams trained in SAS for exposure management, treaty pricing, and retrocession optimisation?
28
What training exists for staff using SAS to analyse policyholder lifetime value, lapse behaviour, and cross-sell opportunity?
29
How are your claims reserving managers trained to use predictive analytics for reserve adequacy assessment and leakage detection?
30
How are you building data literacy and analytics confidence across the wider claims and underwriting operations — beyond the specialist analytics teams?
31
What SAS training exists for teams implementing privacy-by-design, GDPR compliance workflows, and consent-driven data processing in SAS?
32
How are you maintaining core SAS programming skills across a workforce that increasingly uses low-code, no-code, and AutoML tools within Viya?
Buyer Personas
Executive Buyers
CROCDAOChief Claims OfficerChief Underwriting OfficerChief ActuaryCIO
Operational Buyers
Head of Claims AnalyticsHead of Fraud AnalyticsHead of Underwriting AnalyticsActuarial DirectorSAS Platform Owner
Users & Champions
ActuariesData ScientistsClaims AnalystsFraud InvestigatorsUnderwritersModel Validators
4Recommended Content Subscriptions— mapped to roles with direct links to learn.sas.com
5Objection Handling— 20 ready responses to training investment pushbacks
❝ Training is too expensive — it's not in the budget. ❞
Training costs are fixed and predictable; skill gaps are not. The cost of unproductive SAS users, over-reliance on expensive consultants, delayed model deployments, and regulatory exposure from poorly governed models consistently exceeds the cost of a learning subscription. We can help you build a business case that quantifies the ROI — faster onboarding, reduced consulting spend, and faster time-to-value on your SAS investment.
👉 The question isn't whether training costs money — it's whether the skill gap costs more.
❝ We don't have time for training right now. ❞
This is the most common objection we hear — and it's usually a sign that the team is already stretched because they lack the skills to work efficiently. SAS learning subscriptions are entirely self-paced: users learn in short on-demand modules around their workload, not in week-long classroom blocks. Training doesn't take time from the business — it gives it back.
👉 Busy teams can't afford not to train — inefficiency compounds every day skills gaps go unaddressed.
❝ Our team already knows SAS. ❞
Knowing SAS and using it to its full capability are very different things. Most teams have strong expertise in a subset of features — often inherited from SAS 9 — and haven't explored SAS Viya's AI, ML, cloud-native, and open-source integration capabilities. Our skills assessments consistently show that even experienced SAS users unlock significant new productivity when they close those gaps. We can run a diagnostic to identify exactly where the opportunities are.
👉 Familiarity with a legacy tool is not mastery of the current platform — SAS Viya is a fundamentally different environment.
❝ We'll handle training internally. ❞
Internal training is valuable for orientation and culture — but it rarely delivers the technical depth or content currency that SAS-certified instruction provides. Your internal trainers also carry a significant opportunity cost: every hour they spend teaching is an hour they aren't delivering analytics. SAS Education content is built by the same people who build the software, updated with every platform release, and benchmarked against global delivery practice.
👉 Internal training scales awareness — SAS Education scales verified, production-ready capability.
❝ We can find free training on YouTube or online. ❞
Free content is unstructured, unvalidated, and disconnected from real SAS Viya lab environments. It doesn't come with certification pathways, role-based learning tracks, or any assurance that what's being taught applies to the version and configuration you're running. Our subscriptions provide SAS-curated content, sandboxed lab environments, and certification preparation — at a cost that is less per day than a single hour of external consultant time.
👉 Free content teaches concepts. SAS Education builds verified, tested, production-ready skills.
❝ We're going through a restructure — it's not the right time. ❞
Restructures are precisely when training investments pay off most. New teams need to ramp up quickly, critical knowledge walks out the door when people leave, and the organisation needs to demonstrate productivity from new structures fast. A learning subscription ensures skills continuity regardless of team changes — and locks in pricing before headcount is fully confirmed.
👉 Organisational change increases the urgency of skills investment — not the reason to defer it.
❝ We have a freeze on external spending. ❞
A discretionary spend freeze is understandable — but skills attrition doesn't pause during freezes. We can help you structure the investment as part of your existing SAS contract renewal or enterprise agreement, explore phased payment options, or position training as part of the SAS platform value-realisation plan. Training embedded in a platform agreement often bypasses discretionary spend controls entirely.
👉 A spending freeze stops new costs — it doesn't stop the skill gap from growing.
❝ We use Python and R now, not SAS. ❞
That's exactly where SAS Education adds value. SAS Viya supports Python, R, and SAS natively — and Python and R users benefit most from understanding how to deploy, govern, and monitor their models inside SAS Viya's model management and MLOps framework. We have dedicated learning paths for Python and R users working within or alongside SAS Viya — no prior SAS experience required.
👉 SAS Education isn't only for SAS programmers — it trains any analytical team to extract full value from SAS Viya.
❝ Training won't stick — people go back to their old ways. ❞
That's true of one-off classroom events delivered in isolation — which is why we don't just sell those. Learning subscriptions provide 12 months of continuous, on-demand access so skills are reinforced through repeated practice rather than forgotten after a week. We also support organisations in building internal communities of practice, role-based learning tracks, and manager frameworks to embed learning into day-to-day working habits.
👉 A single training event creates awareness. A 12-month learning subscription creates lasting behaviour change.
❝ We're waiting for the SAS platform to be fully deployed first. ❞
Training during deployment — not after — is the optimal approach. Users who are trained before go-live adopt faster, make fewer configuration errors, and generate value from day one. Every week of post-deployment delay is a week of underutilisation on a platform you're already paying for. We can align the learning subscription timeline to your deployment roadmap so users are ready on go-live day.
👉 Train before go-live, not after — adoption starts on day one, not after months of delay.
❝ We already have a training provider. ❞
We're not asking you to replace your general skills provider — we're asking who should train your teams specifically on SAS. SAS Education is the only provider with certified, platform-native content, direct access to SAS lab environments, and real-time input from SAS R&D on upcoming platform changes. For SAS-specific capability, no third-party provider can match the depth, accuracy, or content currency of what we deliver.
👉 Generic training providers can't keep pace with SAS platform releases — only SAS Education can.
❝ Our people are too senior for training. ❞
Senior professionals are often the most valuable audience for structured learning — because their time is expensive and their skill gaps have the greatest business impact. We have executive AI literacy programmes, architect-level SAS Viya content, model risk governance tracks, and advanced analytics paths designed specifically for senior practitioners. This is expert-level, role-appropriate capability development — not classroom basics.
👉 Senior people don't need less training — they need training that respects their expertise and targets the right gaps.
❝ We outsource analytics to a partner — training isn't relevant for us. ❞
Even when delivery is outsourced, your internal team needs sufficient SAS capability to brief partners effectively, review outputs critically, manage model risk, and avoid total dependency on a third party. Organisations regularly overpay for consulting because internal teams can't challenge, extend, or bring back work. A targeted internal skills investment reduces that dependency and gives you commercial leverage in partner negotiations.
👉 Outsourcing analytics without internal capability means you can never check the work — or bring it back in-house.
❝ We don't know what training our team actually needs. ❞
That's exactly the starting point for our engagement. We offer a Learning Needs Analysis (LNA) as part of our enterprise relationships — a structured process to assess current skills against your SAS use cases, identify gaps, and design a prioritised learning roadmap with measurable outcomes. You don't need to have the answer before engaging us — finding the answer is part of what we do.
👉 An LNA turns 'we don't know what we need' into a clear, costed skills roadmap in a matter of weeks.
❝ We tried SAS training before and it wasn't relevant. ❞
SAS Education has been substantially redesigned around SAS Viya and real-world industry use cases. If previous experiences were based on SAS 9 classroom delivery, the offering looks fundamentally different today: on-demand, role-based, lab-enabled, and aligned to the specific domains — risk, fraud, clinical, public sector — your teams work in every day. We'd welcome the opportunity to show you a live demo of the current catalogue before you make a judgement.
👉 The SAS Education of three years ago is not today's offering — it's worth a fresh look with current eyes.
❝ We need to get sign-off from procurement, IT, and L&D first. ❞
Absolutely — and we can actively support that process. We provide business case templates, ROI benchmarking data, SAS Education platform security and compliance documentation, and reference customers for every stakeholder. We work with procurement, IT, and L&D teams regularly and know what each group needs to approve confidently. Let's agree a timeline together and I'll make sure you have everything needed to move it forward smoothly.
👉 Don't let internal process create indefinite delay — give each stakeholder exactly what they need to say yes.
❝ We're already paying for SAS licences — training should be included. ❞
SAS software licences cover the right to use the platform — not the right to use it well. Just as a hospital pays separately for medical equipment and clinical training, the platform and the skills to maximise it are distinct investments. That said, we can explore embedding a learning subscription into your next SAS contract renewal so it sits within the overall platform investment and is treated as a single business case.
👉 A platform without trained users is a cost. A platform with trained users is a competitive asset.
❝ We're a small team — training doesn't scale for us. ❞
Small teams are often where training has the highest per-person impact — because there is no redundancy to absorb skills gaps. If one critical SAS expert leaves, is promoted, or is unavailable, the entire team is exposed. A learning subscription lets multiple team members cross-train simultaneously, build resilience, and grow capability progressively — without requiring a large cohort to justify the investment.
👉 Small teams can't afford skills single points of failure — a subscription is your resilience plan.
❝ ROI on training is hard to measure. ❞
Measuring learning ROI requires intention — but it's entirely achievable. We work with customers to define upfront metrics: reduction in onboarding time, decrease in consultant spend, increase in model deployment frequency, SAS certification achievement rates, and platform feature adoption scores. SAS Education provides learning analytics dashboards so managers can track completion, progress, and engagement in real time. We can co-design a measurement framework at the start of the engagement.
👉 If you don't measure training ROI, you'll never know whether the skill gap is costing more than the training.
❝ Our staff will leave after we train them. ❞
The alternative — not training them — virtually guarantees they will leave sooner, and that the ones who stay will underperform on a platform they can't fully use. Research consistently shows that learning and development investment is one of the top drivers of retention among analytics and data science professionals. Organisations that invest in skills attract stronger talent, retain it longer, and build a reputation as a place where technical professionals grow.
👉 Trained people may leave — but untrained people leave faster, and the ones who stay cost you more.
SAS® Education · Industry Sales Play
Health Care & Life Sciences Analytics Enablement
Accelerating Clinical, Operational, Regulatory & AI Readiness with SAS
Health care organizations and life sciences companies are rapidly expanding the use of AI, predictive analytics, and real-world data to improve patient outcomes, operational efficiency, research productivity, and regulatory compliance.
Many organizations struggle with shortages of skilled analytics talent, slow AI platform adoption, fragmented data environments, and increasing regulatory and governance requirements across clinical, operational, and commercial functions.
Strategic Positioning
"SAS Education should be positioned as healthcare and life sciences analytics transformation enablement — building the AI-ready workforce needed to improve patient outcomes, accelerate research, reduce fraud and waste, and deliver governed AI adoption across clinical and operational teams."
Clinical Analytics
Population Health
FWA Detection
Clinical Trials
AI Governance
ModelOps
1Key Roles & Learning Needs— who SAS Education targets in health care & life sciences
Chief Medical Officer
Clinical Leadership
Challenge
Clinical AI adoption, model explainability & patient safety governance
Learning Need
AI governance, clinical analytics strategy, responsible AI for healthcare
Clinical Data Scientist
Clinical Analytics
Challenge
Slow deployment of clinical predictive models into production workflows
Learning Need
SAS Viya, ML for clinical data, ModelOps, real-world evidence analytics
SAS Topics
AI & ML ProfessionalSAS Programming
Head of FWA Analytics
Fraud, Waste & Abuse
Challenge
Rising claims fraud, billing anomalies & provider fraud complexity
Learning Need
Fraud analytics, anomaly detection, payment integrity scoring models
SAS Topics
Fraud & Security IntelligenceAI & ML
Population Health Director
Population Health
Challenge
Chronic disease programme effectiveness & social determinants analytics
Learning Need
Population risk scoring, social determinants analysis, SAS Viya
SAS Topics
Statistics FoundationsVisual Analytics
Biostatistician / Researcher
R&D / Clinical Trials
Challenge
Real-world evidence complexity; trial analytics & adverse event analysis
Learning Need
Biostatistics, SAS clinical trial analytics, regulatory submissions
SAS Topics
SAS BiostatisticsSAS Programming
Data / ML Engineer
Data & Technology
Challenge
Fragmented data environments & compliance overhead in regulated settings
Learning Need
Data engineering, SAS Viya architecture, governance & compliance
SAS Topics
Data EngineeringArchitecture & Security
2Sales Play Card— healthcare and life sciences analytics transformation enablement
Business Challenges
Difficulty operationalising AI/ML models into clinical workflows
CMO · Clinical Analytics Director
Fragmented and siloed clinical, claims, and operational data
CDAO · CIO
Shortage of experienced analytics & data science talent
Clinical Research Director
Regulatory & compliance pressure — data governance & explainability
Chief Compliance Officer
Rising fraud, waste, and abuse risks across programmes
Head of FWA Analytics
Difficulty leveraging real-world evidence & population analytics
Population Health Director
Complex reporting & regulatory submission requirements (GxP/FDA)
Biostatistician · Clinical Research Director
Typical HCLS Use Cases for SAS Analytics
Clinical & Patient Analytics
Patient risk stratification & readmission prediction
Clinical decision support & care pathway optimisation
Disease progression modelling & personalized treatment
Fraud, Waste & Abuse
Claims fraud & billing anomaly detection
Provider fraud analytics & payment integrity
Utilization abuse detection
Clinical Trials & Research
Clinical trial analytics & patient recruitment optimisation
Real-world evidence analytics & adverse event analysis
Biostatistical modelling & regulatory submissions
AI Governance & Operations
Model monitoring & explainable AI for clinical contexts
AI governance workflows & ModelOps
Enterprise analytics governance (GxP-aligned)
Education Role in HCLS
Curated clinical, population health & FWA analytics learning paths
SAS Viya deployment & AI governance workshops for clinical teams
Biostatistics & clinical trial analytics training for researchers
Private instructor-led analyst & clinician onboarding programmes
ModelOps & MLOps training for regulated clinical environments
Certification tracks: Clinical Analytics, AI & ML, Biostatistics
Key Differentiators
HCLS-specific paths built by SAS clinical & research domain experts
360 SAS Education professionals with healthcare industry experience
Digital Badges & Certification to support compliance evidence
Labs on Demand — SAS Viya cloud, real datasets, zero IT setup
Integrated AI governance & ModelOps education for regulated environments
Role-based annual subscriptions from €1,000 / user / year
Strategic Value Proposition
Health care and life sciences organizations face growing pressure to adopt AI while managing complex regulatory requirements and talent shortages. SAS Education Services helps organizations accelerate analytics maturity — improving patient outcomes, reducing onboarding time, strengthening compliance readiness, and scaling AI capabilities across clinical, operational, and research teams through role-based enablement programs focused on the skills that matter most.
Training Outcomes
↓ReduceReadmission Rates
↓ReduceFraud & Waste
↑ImprovePatient Outcomes
↑IncreaseResearch Productivity
↑IncreaseAI Adoption
Clinical Programming · Biostatistics · Data Management · Research
Give your clinical and scientific teams the training they need to build high-quality, compliant analytics capabilities.
Whether you're onboarding new clinical programmers, statisticians, or upskilling global teams, our Subscriptions offer a cost-effective, scalable way to modernize skills and accelerate clinical and research workflows.
3Selling Motions— 3-tier engagement model · Content Subscription · Learning Subscription · Premium Learning Subscription
focused topic eLearning + Labs On Demand + Certification Preparation tests + 12 months subscription
Content Subscription
What's included
One focused topic area for On-demand eLearning — e.g. Biostatistics, Clinical Trials, Health & Life Sciences analytics, or SAS Viya for clinical programmers and statisticians
Labs on Demand — hands-on SAS Viya labs with clinical and research datasets to build audit-ready, GxP-compliant skills
Certification Preparation tests — to shorten the time to certification for clinical programmers, biostatisticians, and data managers
12 months subscription — continuous access as SAS tools and regulatory standards (ICH, FDA, EMA) evolve
Best fit when the customer…
Has focused learning needs on a specific topic or domain
Is upskilling a small or targeted team, not enterprise-wide
Prefers self-paced, on-demand learning over scheduled sessions
Is certification-oriented in a single area (e.g. SAS Viya ML)
Is cost-sensitive and seeking a lower-cost entry point
Has independent, technically driven learners comfortable with labs
Unlimited eLearning catalog + Role-based learning path + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Learning Subscription
What's included
Unlimited eLearning across the full SAS catalogue — covering Biostatistics, Clinical Trials, Health & Life Sciences Analytics, Data Engineering, and AI & ML
Labs on Demand — hands-on SAS Viya labs with clinical and research datasets to build GxP-compliant, audit-ready expertise
Certification Preparation tests — to accelerate certification for clinical programmers, statisticians, and data managers
Role-based learning paths curated for Clinical Programming, Biostatistics, Population Health, FWA Analytics, and Research teams
Min. order is one 5-user pack = 5 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Broad learning and upskilling needs across domains
Build expertise across SAS, AI, Data Analytics, and multiple technologies rather than a single topic area.
Enterprise-wide or large-scale learner groups
Need training for multiple teams or the whole enterprise.
Preference for self-paced, on-demand learning
Value flexibility to learn anytime, without scheduling instructor-led sessions.
Independent or technically driven learners
Comfortable learning autonomously with digital content and hands-on labs.
Certification-oriented learners
Aim to prepare for and pass certifications in a specific domain.
Organizations driving digital transformation & adoption
Accelerate adoption of SAS technologies and improve workforce capability at scale. Seek unrestricted access to the full SAS eLearning catalog to support evolving business and technical needs.
Unlimited eLearning catalog + LNA + Role-based learning path + Unlimited Live Web + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Premium Learning Subscription
What's included
Learning Needs Analysis (LNA) to map skill gaps
Unlimited Live Web Courses with SAS experts in various local languages and Unlimited eLearning courses with persona based learning paths — ideal for upskilling clinical programmers, statisticians, and data managers across global teams
Progress Reports and Learner Dashboards to improve data quality, ensure consistency, and support regulatory documentation
Labs On-Demand, and digital badges to build audit-ready expertise and reduce analysis errors
Add Training Points (TRNPTS) for private/custom sessions, coaching, certifications
Certification Preparation tests — to shorten the time for Certification
Min. order: 2 × 5-user pack = 10 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Need to train at scale across teams
Wants to enable learning for multiple users, roles, or departments simultaneously.
Focus on continuous learning & adoption
Requires ongoing upskilling rather than one-off training interventions.
Diverse skill levels across users
Onboarding new users while also advancing experienced teams.
Preference for structured, role-based learning paths
Values guided learning journeys tailored to specific roles and competencies.
Hybrid learning culture
Prefers mix of live instructor-led sessions and self-paced learning.
Value Discovery Questions
1
How are your biostatisticians trained to use SAS for clinical trial primary and secondary endpoint analysis and regulatory submissions?
2
What training exists for your pharmacovigilance team to run signal detection, disproportionality analysis, and benefit-risk modelling in SAS?
3
How confident are your clinical programmers in writing CDISC-compliant SAS programs — SDTM mapping, ADaM derivations, and TLF production?
4
Are your teams trained to use SAS for generating real-world evidence from claims, EHR, and registry data for regulatory and HTA submissions?
5
When new FDA or EMA submission requirements or ICH guidelines come into force, how quickly can your teams adapt their SAS programmes?
6
How are your health economists being trained to build cost-effectiveness, budget-impact, and decision-analytic models using SAS?
7
What structured learning pathway exists for new clinical SAS programmers joining your organisation — from onboarding through to independent delivery?
8
How are your data management teams trained in SAS for clinical data cleaning, edit check programming, and EDC integration and reconciliation?
9
Are your population health analytics teams trained to identify high-risk patient cohorts, stratify populations, and model intervention impact using SAS?
10
How are clinical staff and non-technical end users trained to interpret and act on analytics outputs generated by SAS models in daily care decisions?
11
What training exists for your medical affairs team to use SAS for publication planning, competitive landscape analytics, and congress data analysis?
12
How are regulatory affairs teams trained in using SAS to prepare, validate, and audit CDISC submission datasets under ICH E9 and E6 guidelines?
13
Are operational teams trained in SAS for patient flow modelling, theatre and bed management optimisation, and capacity planning analytics?
14
How are commercial analytics and market access teams trained to use SAS for prescriber segmentation, product forecasting, and access modelling?
15
What training exists for migrating validated SAS 9 clinical programmes to SAS Viya in a GxP environment — covering validation documentation and requalification?
16
How are your bioinformatics and genomics teams trained in SAS for next-generation sequencing data processing, multi-omics integration, and pathway analysis?
17
Are clinical trial statisticians trained to use SAS for adaptive trial designs, sample size re-estimation, and interim analysis under DSMB protocols?
18
How are your HEOR teams trained in indirect treatment comparison, network meta-analysis, and mixed-treatment comparison modelling using SAS?
19
What training exists for pharmacokinetic and pharmacodynamic modelling — population PK, exposure-response, and simulation — within SAS or integrated toolchains?
20
How are your medical device analytics teams trained to analyse post-market surveillance data, complaint trends, and device performance using SAS?
21
Are your data science teams trained on SAS AI and ML capabilities for patient risk stratification, hospital readmission prediction, and outcome modelling?
22
How do you train staff to maintain data integrity, audit trails, and electronic signatures in SAS within a 21 CFR Part 11 validated environment?
23
What training exists for supply chain, manufacturing, and quality analytics teams using SAS for process capability, yield analysis, and deviation trending?
24
How are your epidemiologists trained to use SAS for cohort studies, case-control analysis, survival modelling, and disease surveillance reporting?
25
Are clinical operations teams trained in SAS for study feasibility analysis, site selection scoring, enrolment forecasting, and performance monitoring?
26
How do you handle skills continuity when senior SAS programmers transition between CRO and sponsor organisations, or between therapeutic areas?
27
What SAS training exists for machine learning teams building predictive models on linked EHR, claims, genomic, and patient-reported outcome datasets?
28
How are your translational research and biobank teams trained to work with large-scale biomarker, proteomics, and imaging datasets in SAS?
29
Are hospital performance and finance teams trained in SAS for DRG and casemix analysis, reimbursement optimisation, and payer contracting analytics?
30
What training is in place for teams implementing SAS in early AI-assisted drug discovery, target identification, and compound screening pipelines?
31
How are real-world data operations teams trained to link, clean, and analyse complex multi-source datasets — claims, EMR, registries — in SAS?
32
What training exists for your quality assurance and regulatory compliance teams to validate, audit, and approve SAS programmes under GCP and GMP?
Buyer Personas
Executive Buyers
CMOCDAOCIOChief Digital OfficerChief Compliance OfficerVP Clinical Operations
Operational Buyers
Director of Clinical AnalyticsPopulation Health DirectorHead of FWA AnalyticsClinical Research DirectorSAS Platform Owner
Users & Champions
Data ScientistsClinical AnalystsBiostatisticiansEpidemiologistsFraud InvestigatorsClinical Trial Managers
4Recommended Content Subscriptions— mapped to roles with direct links to learn.sas.com
5Objection Handling— 20 ready responses to training investment pushbacks
❝ Training is too expensive — it's not in the budget. ❞
Training costs are fixed and predictable; skill gaps are not. The cost of unproductive SAS users, over-reliance on expensive consultants, delayed model deployments, and regulatory exposure from poorly governed models consistently exceeds the cost of a learning subscription. We can help you build a business case that quantifies the ROI — faster onboarding, reduced consulting spend, and faster time-to-value on your SAS investment.
👉 The question isn't whether training costs money — it's whether the skill gap costs more.
❝ We don't have time for training right now. ❞
This is the most common objection we hear — and it's usually a sign that the team is already stretched because they lack the skills to work efficiently. SAS learning subscriptions are entirely self-paced: users learn in short on-demand modules around their workload, not in week-long classroom blocks. Training doesn't take time from the business — it gives it back.
👉 Busy teams can't afford not to train — inefficiency compounds every day skills gaps go unaddressed.
❝ Our team already knows SAS. ❞
Knowing SAS and using it to its full capability are very different things. Most teams have strong expertise in a subset of features — often inherited from SAS 9 — and haven't explored SAS Viya's AI, ML, cloud-native, and open-source integration capabilities. Our skills assessments consistently show that even experienced SAS users unlock significant new productivity when they close those gaps. We can run a diagnostic to identify exactly where the opportunities are.
👉 Familiarity with a legacy tool is not mastery of the current platform — SAS Viya is a fundamentally different environment.
❝ We'll handle training internally. ❞
Internal training is valuable for orientation and culture — but it rarely delivers the technical depth or content currency that SAS-certified instruction provides. Your internal trainers also carry a significant opportunity cost: every hour they spend teaching is an hour they aren't delivering analytics. SAS Education content is built by the same people who build the software, updated with every platform release, and benchmarked against global delivery practice.
👉 Internal training scales awareness — SAS Education scales verified, production-ready capability.
❝ We can find free training on YouTube or online. ❞
Free content is unstructured, unvalidated, and disconnected from real SAS Viya lab environments. It doesn't come with certification pathways, role-based learning tracks, or any assurance that what's being taught applies to the version and configuration you're running. Our subscriptions provide SAS-curated content, sandboxed lab environments, and certification preparation — at a cost that is less per day than a single hour of external consultant time.
👉 Free content teaches concepts. SAS Education builds verified, tested, production-ready skills.
❝ We're going through a restructure — it's not the right time. ❞
Restructures are precisely when training investments pay off most. New teams need to ramp up quickly, critical knowledge walks out the door when people leave, and the organisation needs to demonstrate productivity from new structures fast. A learning subscription ensures skills continuity regardless of team changes — and locks in pricing before headcount is fully confirmed.
👉 Organisational change increases the urgency of skills investment — not the reason to defer it.
❝ We have a freeze on external spending. ❞
A discretionary spend freeze is understandable — but skills attrition doesn't pause during freezes. We can help you structure the investment as part of your existing SAS contract renewal or enterprise agreement, explore phased payment options, or position training as part of the SAS platform value-realisation plan. Training embedded in a platform agreement often bypasses discretionary spend controls entirely.
👉 A spending freeze stops new costs — it doesn't stop the skill gap from growing.
❝ We use Python and R now, not SAS. ❞
That's exactly where SAS Education adds value. SAS Viya supports Python, R, and SAS natively — and Python and R users benefit most from understanding how to deploy, govern, and monitor their models inside SAS Viya's model management and MLOps framework. We have dedicated learning paths for Python and R users working within or alongside SAS Viya — no prior SAS experience required.
👉 SAS Education isn't only for SAS programmers — it trains any analytical team to extract full value from SAS Viya.
❝ Training won't stick — people go back to their old ways. ❞
That's true of one-off classroom events delivered in isolation — which is why we don't just sell those. Learning subscriptions provide 12 months of continuous, on-demand access so skills are reinforced through repeated practice rather than forgotten after a week. We also support organisations in building internal communities of practice, role-based learning tracks, and manager frameworks to embed learning into day-to-day working habits.
👉 A single training event creates awareness. A 12-month learning subscription creates lasting behaviour change.
❝ We're waiting for the SAS platform to be fully deployed first. ❞
Training during deployment — not after — is the optimal approach. Users who are trained before go-live adopt faster, make fewer configuration errors, and generate value from day one. Every week of post-deployment delay is a week of underutilisation on a platform you're already paying for. We can align the learning subscription timeline to your deployment roadmap so users are ready on go-live day.
👉 Train before go-live, not after — adoption starts on day one, not after months of delay.
❝ We already have a training provider. ❞
We're not asking you to replace your general skills provider — we're asking who should train your teams specifically on SAS. SAS Education is the only provider with certified, platform-native content, direct access to SAS lab environments, and real-time input from SAS R&D on upcoming platform changes. For SAS-specific capability, no third-party provider can match the depth, accuracy, or content currency of what we deliver.
👉 Generic training providers can't keep pace with SAS platform releases — only SAS Education can.
❝ Our people are too senior for training. ❞
Senior professionals are often the most valuable audience for structured learning — because their time is expensive and their skill gaps have the greatest business impact. We have executive AI literacy programmes, architect-level SAS Viya content, model risk governance tracks, and advanced analytics paths designed specifically for senior practitioners. This is expert-level, role-appropriate capability development — not classroom basics.
👉 Senior people don't need less training — they need training that respects their expertise and targets the right gaps.
❝ We outsource analytics to a partner — training isn't relevant for us. ❞
Even when delivery is outsourced, your internal team needs sufficient SAS capability to brief partners effectively, review outputs critically, manage model risk, and avoid total dependency on a third party. Organisations regularly overpay for consulting because internal teams can't challenge, extend, or bring back work. A targeted internal skills investment reduces that dependency and gives you commercial leverage in partner negotiations.
👉 Outsourcing analytics without internal capability means you can never check the work — or bring it back in-house.
❝ We don't know what training our team actually needs. ❞
That's exactly the starting point for our engagement. We offer a Learning Needs Analysis (LNA) as part of our enterprise relationships — a structured process to assess current skills against your SAS use cases, identify gaps, and design a prioritised learning roadmap with measurable outcomes. You don't need to have the answer before engaging us — finding the answer is part of what we do.
👉 An LNA turns 'we don't know what we need' into a clear, costed skills roadmap in a matter of weeks.
❝ We tried SAS training before and it wasn't relevant. ❞
SAS Education has been substantially redesigned around SAS Viya and real-world industry use cases. If previous experiences were based on SAS 9 classroom delivery, the offering looks fundamentally different today: on-demand, role-based, lab-enabled, and aligned to the specific domains — risk, fraud, clinical, public sector — your teams work in every day. We'd welcome the opportunity to show you a live demo of the current catalogue before you make a judgement.
👉 The SAS Education of three years ago is not today's offering — it's worth a fresh look with current eyes.
❝ We need to get sign-off from procurement, IT, and L&D first. ❞
Absolutely — and we can actively support that process. We provide business case templates, ROI benchmarking data, SAS Education platform security and compliance documentation, and reference customers for every stakeholder. We work with procurement, IT, and L&D teams regularly and know what each group needs to approve confidently. Let's agree a timeline together and I'll make sure you have everything needed to move it forward smoothly.
👉 Don't let internal process create indefinite delay — give each stakeholder exactly what they need to say yes.
❝ We're already paying for SAS licences — training should be included. ❞
SAS software licences cover the right to use the platform — not the right to use it well. Just as a hospital pays separately for medical equipment and clinical training, the platform and the skills to maximise it are distinct investments. That said, we can explore embedding a learning subscription into your next SAS contract renewal so it sits within the overall platform investment and is treated as a single business case.
👉 A platform without trained users is a cost. A platform with trained users is a competitive asset.
❝ We're a small team — training doesn't scale for us. ❞
Small teams are often where training has the highest per-person impact — because there is no redundancy to absorb skills gaps. If one critical SAS expert leaves, is promoted, or is unavailable, the entire team is exposed. A learning subscription lets multiple team members cross-train simultaneously, build resilience, and grow capability progressively — without requiring a large cohort to justify the investment.
👉 Small teams can't afford skills single points of failure — a subscription is your resilience plan.
❝ ROI on training is hard to measure. ❞
Measuring learning ROI requires intention — but it's entirely achievable. We work with customers to define upfront metrics: reduction in onboarding time, decrease in consultant spend, increase in model deployment frequency, SAS certification achievement rates, and platform feature adoption scores. SAS Education provides learning analytics dashboards so managers can track completion, progress, and engagement in real time. We can co-design a measurement framework at the start of the engagement.
👉 If you don't measure training ROI, you'll never know whether the skill gap is costing more than the training.
❝ Our staff will leave after we train them. ❞
The alternative — not training them — virtually guarantees they will leave sooner, and that the ones who stay will underperform on a platform they can't fully use. Research consistently shows that learning and development investment is one of the top drivers of retention among analytics and data science professionals. Organisations that invest in skills attract stronger talent, retain it longer, and build a reputation as a place where technical professionals grow.
👉 Trained people may leave — but untrained people leave faster, and the ones who stay cost you more.
SAS® Education · Industry Sales Play
Public Sector Analytics Workforce Enablement
Accelerating Mission Readiness, Data-Driven Government & AI Adoption with SAS
Public sector organizations are under increasing pressure to modernize services, improve operational efficiency, strengthen fraud detection, and deliver transparent, data-driven decision-making — all under constrained budgets and evolving regulatory requirements.
Government agencies often face siloed data environments, shortages of analytics talent, slow AI technology adoption, and difficulty operationalizing analytics initiatives across departments and agencies.
Strategic Positioning
"SAS Education should be positioned as public sector analytics modernization and workforce transformation enablement — the capability-building layer that accelerates responsible AI adoption, improves fraud detection, and enables data-driven citizen services."
FWA Detection
Citizen Analytics
Public Safety
Responsible AI
Operational Intelligence
SAS Viya Modernisation
1Key Roles & Learning Needs— who SAS Education targets in the public sector
Chief Data Officer
Data & Digital
Challenge
Cross-agency data sharing, governance at scale & responsible AI adoption
Learning Need
AI governance, data management strategy, responsible AI frameworks
SAS Topics
AI for LeadersData Engineering
Subscriptions
Head of FWA / Program Integrity
Fraud & Compliance
Challenge
Benefits fraud, tax fraud & procurement anomaly detection at scale
Learning Need
Fraud analytics, anomaly detection, identity verification scoring
SAS Topics
Fraud & Security IntelligenceAI & ML
Public Safety Analytics Lead
Public Safety
Challenge
Crime pattern analysis, threat intelligence & real-time risk scoring
Learning Need
Predictive analytics, SAS Viya risk scoring, visual analytics
SAS Topics
Predictive AnalyticsVisual Analytics
AI Governance Lead
Digital / IT
Challenge
Responsible AI adoption, explainability requirements & AI Act compliance
Learning Need
Explainable AI, model governance, responsible AI frameworks
SAS Topics
AI for LeadersRisk Management
Subscriptions
Policy & Programme Analyst
Programme Delivery
Challenge
Data-driven policy analysis & performance reporting with limited tools
Learning Need
Visual Analytics, statistics foundations, SAS programming basics
SAS Topics
Visual AnalyticsStatistics Foundations
Data / ML Engineer
IT Modernisation
Challenge
Legacy systems slowing analytics modernisation; procurement complexity
Learning Need
Data engineering, SAS Viya architecture, MLOps for government
SAS Topics
Data EngineeringArchitecture & Security
2Sales Play Card— public sector analytics modernization and workforce transformation enablement
Business Challenges
Difficulty operationalising AI and analytics across departments
CDO · IT Modernisation Director
Siloed data environments limiting cross-agency collaboration
CDAO · Programme Directors
Limited analytics and data science talent in the public sector
Agency Director · HR
Increasing pressure for AI transparency, accountability & responsible AI
AI Governance Lead
Fraud, waste, and abuse risks across public programmes and benefits
Head of FWA / Program Integrity
Budget constraints and legacy systems slowing modernisation
CIO · CDO
Challenges implementing AI governance and responsible AI frameworks
AI Governance Lead · Chief Risk Officer
Typical Public Sector Use Cases for SAS Analytics
Fraud, Waste & Abuse
Benefits fraud & tax fraud detection
Procurement fraud & payment anomaly analytics
Identity verification & eligibility analytics
Public Safety & Security
Crime pattern analysis & threat intelligence
Emergency response optimisation
Cybersecurity analytics & risk assessment
Citizen & Social Analytics
Social services eligibility & programme analytics
Public health monitoring & disease surveillance
Education performance & workforce development analytics
AI Governance & Operations
Responsible AI & explainability frameworks
Model monitoring & audit compliance
Regulatory reporting automation
Education Role in Public Sector
Curated government analytics & FWA detection learning paths
Responsible AI & explainability workshops for governance teams
SAS Viya modernisation & operationalisation training for IT teams
Private instructor-led analyst & technical staff onboarding
Data literacy & analytics adoption programmes for all staff levels
Certification tracks: Analytics, AI & ML, Data Governance
Key Differentiators
Public-sector-specific paths built by SAS government domain experts
360 SAS Education professionals with government sector experience
Digital Badges & Certification to support transparency and audit
Labs on Demand — SAS Viya cloud, real datasets, zero IT setup
Integrated responsible AI & governance education for AI Act compliance
Role-based annual subscriptions from €1,000 / user / year
Strategic Value Proposition
Government agencies face growing demands for data-driven decision-making, fraud prevention, and responsible AI adoption — all within budget constraints. SAS Education Services helps public sector organizations accelerate analytics maturity — reducing onboarding time, improving AI and SAS Viya adoption, and scaling transparent, governed analytics capabilities across agencies to deliver better citizen outcomes.
Training Outcomes
↓ReduceFraud & Waste
↑IncreaseCitizen Satisfaction
↑IncreaseOperational Efficiency
↑IncreaseTransparency
↑IncreaseAI Adoption
Analytics · FWA · Public Safety · Citizen Services · Modernization
Give your teams access to all the training they need to strengthen analytics capabilities.
Whether you're onboarding new staff, managing external programmes, or upskilling entire departments, our Subscriptions offer a cost-effective, scalable way to modernize skills and support mission-critical public programmes.
3Selling Motions— 3-tier engagement model · Content Subscription · Learning Subscription · Premium Learning Subscription
focused topic eLearning + Labs On Demand + Certification Preparation tests + 12 months subscription
Content Subscription
What's included
One focused topic area for On-demand eLearning — e.g. Fraud & Waste detection, Visual Analytics, Decisioning, or AI Governance for public sector analysts and programme managers
Labs on Demand — hands-on SAS Viya labs with government-relevant scenarios to build practical, job-ready skills
Certification Preparation tests — to shorten the time to certification and validate expertise for agency-wide recognition
12 months subscription — continuous access supporting ongoing modernisation and digital transformation programmes
Best fit when the customer…
Has focused learning needs on a specific topic or domain
Is upskilling a small or targeted team, not enterprise-wide
Prefers self-paced, on-demand learning over scheduled sessions
Is certification-oriented in a single area (e.g. SAS Viya ML)
Is cost-sensitive and seeking a lower-cost entry point
Has independent, technically driven learners comfortable with labs
Unlimited eLearning catalog + Role-based learning path + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Learning Subscription
What's included
Unlimited eLearning across the full SAS catalogue — covering Fraud & Waste Detection, Visual Analytics, AI Governance, Decisioning, and Data Engineering
Labs on Demand — hands-on SAS Viya labs with government-relevant scenarios to build practical, job-ready skills across departments
Certification Preparation tests — to accelerate certification and validate expertise for agency-wide capability recognition
Role-based learning paths curated for FWA Analysts, Public Safety teams, Data Engineers, AI Governance Leads, and Policy Analysts
Min. order is one 5-user pack = 5 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Broad learning and upskilling needs across domains
Build expertise across SAS, AI, Data Analytics, and multiple technologies rather than a single topic area.
Enterprise-wide or large-scale learner groups
Need training for multiple teams or the whole enterprise.
Preference for self-paced, on-demand learning
Value flexibility to learn anytime, without scheduling instructor-led sessions.
Independent or technically driven learners
Comfortable learning autonomously with digital content and hands-on labs.
Certification-oriented learners
Aim to prepare for and pass certifications in a specific domain.
Organizations driving digital transformation & adoption
Accelerate adoption of SAS technologies and improve workforce capability at scale. Seek unrestricted access to the full SAS eLearning catalog to support evolving business and technical needs.
Unlimited eLearning catalog + LNA + Role-based learning path + Unlimited Live Web + Labs On Demand + Certification Preparation tests + 12 months subscription. Enterprise License available.
Premium Learning Subscription
What's included
Learning Needs Analysis (LNA) to map skill gaps
Unlimited Live Web Courses with SAS experts in various local languages and Unlimited eLearning courses with persona based learning paths — ideal for scaling training across departments and regions
Progress Reports and Learner Dashboards to identify challenges, measure impact, and support agency-wide oversight
Custom learner dashboards to guide teams effectively through their training journeys
Labs On-Demand to support modernisation priorities
Digital badges to validate expertise and increase internal capability
Add Training Points (TRNPTS) for private/custom sessions, coaching, certifications
Certification Preparation tests — to shorten the time for Certification
Min. order: 2 × 5-user pack = 10 Named Users
12 Months Subscription
Enterprise License is available
Best fit when the customer…
Need to train at scale across teams
Wants to enable learning for multiple users, roles, or departments simultaneously.
Focus on continuous learning & adoption
Requires ongoing upskilling rather than one-off training interventions.
Diverse skill levels across users
Onboarding new users while also advancing experienced teams.
Preference for structured, role-based learning paths
Values guided learning journeys tailored to specific roles and competencies.
Hybrid learning culture
Prefers mix of live instructor-led sessions and self-paced learning.
Value Discovery Questions
1
How are your fraud, error, and debt analytics teams trained to build, tune, and operationalise SAS detection models across benefit and tax programmes?
2
What training exists for policy analysts to use SAS Viya for evidence-based policy design, programme evaluation, and impact assessment?
3
Are your data engineers trained to build, schedule, and maintain SAS Viya pipelines that integrate data from multiple government departments and legacy systems?
4
How are your tax compliance and risk analytics teams trained to use SAS for taxpayer risk scoring, audit case selection, and yield optimisation?
5
What structured onboarding programme exists for civil servants joining an analytics or data science function for the first time — covering tools, methods, and governance?
6
How are frontline case workers and operational staff trained to interpret and confidently act on AI-generated risk scores, flags, and prioritisation outputs?
7
Are your data science teams trained in responsible AI practices — including bias detection, fairness testing, explainability, and algorithmic impact assessment?
8
How do you train staff on data sharing, cross-agency analytics, and federated data access while maintaining GDPR, data protection, and security compliance?
9
What training exists for public health teams using SAS for disease surveillance, outbreak modelling, health inequality analysis, and intervention evaluation?
10
How are your children's services, adult social care, and early intervention teams trained to use predictive analytics for case prioritisation and resource allocation?
11
Are central government economists and statisticians trained in SAS for national accounts modelling, official statistics production, and econometric analysis?
12
How are procurement analytics and commercial teams trained to detect bid-rigging, supplier collusion, anomalous spend patterns, and grant irregularities in SAS?
13
What SAS training exists for teams implementing crime analytics, hotspot prediction, custody throughput modelling, or recidivism risk scoring in policing and justice?
14
How are your HR and workforce analytics teams trained to use SAS for headcount planning, attrition risk modelling, skills gap analysis, and diversity reporting?
15
Are your labour market economists and fiscal analysts trained to use SAS for employment modelling, benefit expenditure forecasting, and macro-level scenario analysis?
16
How do you build and sustain SAS analytical skills in an environment with high civil service turnover and frequent team restructuring?
17
What training exists for local government teams using SAS for housing demand modelling, planning application analytics, and infrastructure investment appraisal?
18
How are grant-awarding bodies and subsidy compliance teams trained to use risk-based analytics in SAS for audit selection and post-payment assurance?
19
Are your intelligence, defence, or national security analytics teams trained in advanced SAS capabilities for entity resolution, network analysis, and anomaly detection?
20
How are environmental and natural resources agencies using SAS for climate data analytics, carbon accounting, and environmental impact modelling — and what training supports this?
21
What training exists for transport and infrastructure analytics teams using SAS for demand forecasting, network optimisation, and asset performance monitoring?
22
How are your digital transformation and modernisation teams being trained to migrate legacy SAS programmes, macros, and batch processes to SAS Viya?
23
What data literacy and AI governance training exists for senior civil servants, directors general, and ministers who sponsor or oversee analytics programmes?
24
How are your internal audit and national audit teams trained to use SAS for financial risk profiling, anomaly detection, and population-level data auditing?
25
Are your communications, transparency, and open data teams trained in SAS Visual Analytics for public-facing dashboards, statistical releases, and Freedom of Information analysis?
26
How are immigration, customs, and border force teams trained to use SAS analytics for traveller risk profiling, freight targeting, and case management analytics?
27
What training exists for programme performance and spending review teams using SAS for KPI tracking, value-for-money assessment, and cross-departmental benchmarking?
28
How are data governance, information asset management, and records management teams trained to maintain SAS data quality, lineage, and cataloguing standards?
29
Are emergency planning and resilience teams trained to use SAS for predictive resource deployment, demand surge modelling, and multi-agency crisis coordination analytics?
30
How are education department analytics teams trained to use SAS for pupil outcome modelling, school performance benchmarking, and funding formula analysis?
31
What training is in place for teams implementing SAS in central bank, prudential regulatory, or financial stability reporting workflows?
32
How are cybersecurity operations and digital forensics teams trained to use SAS for threat intelligence analytics, anomaly detection, and incident pattern analysis?
Buyer Personas
Executive Buyers
CIOCDOChief Digital OfficerAgency DirectorChief Risk OfficerProgramme Executive
Operational Buyers
Director of AnalyticsHead of FWA & Program IntegrityPublic Safety Analytics DirectorAI Governance LeadSAS Platform Owner
Users & Champions
Data AnalystsData ScientistsFraud InvestigatorsPolicy AnalystsPublic Safety AnalystsProgramme Analysts
4Recommended Content Subscriptions— mapped to roles with direct links to learn.sas.com
5Objection Handling— 20 ready responses to training investment pushbacks
❝ Training is too expensive — it's not in the budget. ❞
Training costs are fixed and predictable; skill gaps are not. The cost of unproductive SAS users, over-reliance on expensive consultants, delayed model deployments, and regulatory exposure from poorly governed models consistently exceeds the cost of a learning subscription. We can help you build a business case that quantifies the ROI — faster onboarding, reduced consulting spend, and faster time-to-value on your SAS investment.
👉 The question isn't whether training costs money — it's whether the skill gap costs more.
❝ We don't have time for training right now. ❞
This is the most common objection we hear — and it's usually a sign that the team is already stretched because they lack the skills to work efficiently. SAS learning subscriptions are entirely self-paced: users learn in short on-demand modules around their workload, not in week-long classroom blocks. Training doesn't take time from the business — it gives it back.
👉 Busy teams can't afford not to train — inefficiency compounds every day skills gaps go unaddressed.
❝ Our team already knows SAS. ❞
Knowing SAS and using it to its full capability are very different things. Most teams have strong expertise in a subset of features — often inherited from SAS 9 — and haven't explored SAS Viya's AI, ML, cloud-native, and open-source integration capabilities. Our skills assessments consistently show that even experienced SAS users unlock significant new productivity when they close those gaps. We can run a diagnostic to identify exactly where the opportunities are.
👉 Familiarity with a legacy tool is not mastery of the current platform — SAS Viya is a fundamentally different environment.
❝ We'll handle training internally. ❞
Internal training is valuable for orientation and culture — but it rarely delivers the technical depth or content currency that SAS-certified instruction provides. Your internal trainers also carry a significant opportunity cost: every hour they spend teaching is an hour they aren't delivering analytics. SAS Education content is built by the same people who build the software, updated with every platform release, and benchmarked against global delivery practice.
👉 Internal training scales awareness — SAS Education scales verified, production-ready capability.
❝ We can find free training on YouTube or online. ❞
Free content is unstructured, unvalidated, and disconnected from real SAS Viya lab environments. It doesn't come with certification pathways, role-based learning tracks, or any assurance that what's being taught applies to the version and configuration you're running. Our subscriptions provide SAS-curated content, sandboxed lab environments, and certification preparation — at a cost that is less per day than a single hour of external consultant time.
👉 Free content teaches concepts. SAS Education builds verified, tested, production-ready skills.
❝ We're going through a restructure — it's not the right time. ❞
Restructures are precisely when training investments pay off most. New teams need to ramp up quickly, critical knowledge walks out the door when people leave, and the organisation needs to demonstrate productivity from new structures fast. A learning subscription ensures skills continuity regardless of team changes — and locks in pricing before headcount is fully confirmed.
👉 Organisational change increases the urgency of skills investment — not the reason to defer it.
❝ We have a freeze on external spending. ❞
A discretionary spend freeze is understandable — but skills attrition doesn't pause during freezes. We can help you structure the investment as part of your existing SAS contract renewal or enterprise agreement, explore phased payment options, or position training as part of the SAS platform value-realisation plan. Training embedded in a platform agreement often bypasses discretionary spend controls entirely.
👉 A spending freeze stops new costs — it doesn't stop the skill gap from growing.
❝ We use Python and R now, not SAS. ❞
That's exactly where SAS Education adds value. SAS Viya supports Python, R, and SAS natively — and Python and R users benefit most from understanding how to deploy, govern, and monitor their models inside SAS Viya's model management and MLOps framework. We have dedicated learning paths for Python and R users working within or alongside SAS Viya — no prior SAS experience required.
👉 SAS Education isn't only for SAS programmers — it trains any analytical team to extract full value from SAS Viya.
❝ Training won't stick — people go back to their old ways. ❞
That's true of one-off classroom events delivered in isolation — which is why we don't just sell those. Learning subscriptions provide 12 months of continuous, on-demand access so skills are reinforced through repeated practice rather than forgotten after a week. We also support organisations in building internal communities of practice, role-based learning tracks, and manager frameworks to embed learning into day-to-day working habits.
👉 A single training event creates awareness. A 12-month learning subscription creates lasting behaviour change.
❝ We're waiting for the SAS platform to be fully deployed first. ❞
Training during deployment — not after — is the optimal approach. Users who are trained before go-live adopt faster, make fewer configuration errors, and generate value from day one. Every week of post-deployment delay is a week of underutilisation on a platform you're already paying for. We can align the learning subscription timeline to your deployment roadmap so users are ready on go-live day.
👉 Train before go-live, not after — adoption starts on day one, not after months of delay.
❝ We already have a training provider. ❞
We're not asking you to replace your general skills provider — we're asking who should train your teams specifically on SAS. SAS Education is the only provider with certified, platform-native content, direct access to SAS lab environments, and real-time input from SAS R&D on upcoming platform changes. For SAS-specific capability, no third-party provider can match the depth, accuracy, or content currency of what we deliver.
👉 Generic training providers can't keep pace with SAS platform releases — only SAS Education can.
❝ Our people are too senior for training. ❞
Senior professionals are often the most valuable audience for structured learning — because their time is expensive and their skill gaps have the greatest business impact. We have executive AI literacy programmes, architect-level SAS Viya content, model risk governance tracks, and advanced analytics paths designed specifically for senior practitioners. This is expert-level, role-appropriate capability development — not classroom basics.
👉 Senior people don't need less training — they need training that respects their expertise and targets the right gaps.
❝ We outsource analytics to a partner — training isn't relevant for us. ❞
Even when delivery is outsourced, your internal team needs sufficient SAS capability to brief partners effectively, review outputs critically, manage model risk, and avoid total dependency on a third party. Organisations regularly overpay for consulting because internal teams can't challenge, extend, or bring back work. A targeted internal skills investment reduces that dependency and gives you commercial leverage in partner negotiations.
👉 Outsourcing analytics without internal capability means you can never check the work — or bring it back in-house.
❝ We don't know what training our team actually needs. ❞
That's exactly the starting point for our engagement. We offer a Learning Needs Analysis (LNA) as part of our enterprise relationships — a structured process to assess current skills against your SAS use cases, identify gaps, and design a prioritised learning roadmap with measurable outcomes. You don't need to have the answer before engaging us — finding the answer is part of what we do.
👉 An LNA turns 'we don't know what we need' into a clear, costed skills roadmap in a matter of weeks.
❝ We tried SAS training before and it wasn't relevant. ❞
SAS Education has been substantially redesigned around SAS Viya and real-world industry use cases. If previous experiences were based on SAS 9 classroom delivery, the offering looks fundamentally different today: on-demand, role-based, lab-enabled, and aligned to the specific domains — risk, fraud, clinical, public sector — your teams work in every day. We'd welcome the opportunity to show you a live demo of the current catalogue before you make a judgement.
👉 The SAS Education of three years ago is not today's offering — it's worth a fresh look with current eyes.
❝ We need to get sign-off from procurement, IT, and L&D first. ❞
Absolutely — and we can actively support that process. We provide business case templates, ROI benchmarking data, SAS Education platform security and compliance documentation, and reference customers for every stakeholder. We work with procurement, IT, and L&D teams regularly and know what each group needs to approve confidently. Let's agree a timeline together and I'll make sure you have everything needed to move it forward smoothly.
👉 Don't let internal process create indefinite delay — give each stakeholder exactly what they need to say yes.
❝ We're already paying for SAS licences — training should be included. ❞
SAS software licences cover the right to use the platform — not the right to use it well. Just as a hospital pays separately for medical equipment and clinical training, the platform and the skills to maximise it are distinct investments. That said, we can explore embedding a learning subscription into your next SAS contract renewal so it sits within the overall platform investment and is treated as a single business case.
👉 A platform without trained users is a cost. A platform with trained users is a competitive asset.
❝ We're a small team — training doesn't scale for us. ❞
Small teams are often where training has the highest per-person impact — because there is no redundancy to absorb skills gaps. If one critical SAS expert leaves, is promoted, or is unavailable, the entire team is exposed. A learning subscription lets multiple team members cross-train simultaneously, build resilience, and grow capability progressively — without requiring a large cohort to justify the investment.
👉 Small teams can't afford skills single points of failure — a subscription is your resilience plan.
❝ ROI on training is hard to measure. ❞
Measuring learning ROI requires intention — but it's entirely achievable. We work with customers to define upfront metrics: reduction in onboarding time, decrease in consultant spend, increase in model deployment frequency, SAS certification achievement rates, and platform feature adoption scores. SAS Education provides learning analytics dashboards so managers can track completion, progress, and engagement in real time. We can co-design a measurement framework at the start of the engagement.
👉 If you don't measure training ROI, you'll never know whether the skill gap is costing more than the training.
❝ Our staff will leave after we train them. ❞
The alternative — not training them — virtually guarantees they will leave sooner, and that the ones who stay will underperform on a platform they can't fully use. Research consistently shows that learning and development investment is one of the top drivers of retention among analytics and data science professionals. Organisations that invest in skills attract stronger talent, retain it longer, and build a reputation as a place where technical professionals grow.
👉 Trained people may leave — but untrained people leave faster, and the ones who stay cost you more.
✦
SAS Content Subscriptions
— full catalogue · annual licences · no minimum order · click any title to open on learn.sas.com
Subscription name
Price
No subscriptions match your search.
SAS® Education · Sales Play · Advanced Program
Analytics
Leadership
Program
Leadership
Program
"Our program develops the next generation of analytics professionals in your organization — people who can confidently lead and contribute to your AI and Data transformation journey."
A technology-agnostic, expert-designed program that aligns business, IT, and analytics leaders and teams to drive transformation. ALP is not skills training — it builds the strategic, governance, and leadership capabilities required to drive your AI and data transformation.
700+Participants
60+Organizations
36hTotal program hours
3Core modules
Operating model
3 modules × 3 sessions × 4h
Live Web on Zoom
10–35 participants
Technology agnostic
Tailored to customer context
1,200 Training Points / module / user
Min. 10 participants to start
Data Literacy eLearning included
Facilitators
Christer Bodell · Niels Van Weeren · Patric Hellgren + Guest lecturers from IIA and SAS Industry Practice Leads
Short Value Pitch for Sales
It's a hands-on, expert-led program that strengthens your analytics maturity and transforms how your teams work with data, AI, and each other. The program aligns business, IT, and analytics leaders to drive transformation — and it can be tailored around your organization's unique business goals and challenges.
1Key Takeaways to Recommend ALP
1
AI & Data Analytics Mindset
Establish and secure AI and Data Analytics literacy and thinking. Learn the logic and how to interlock AI and Data Analytics with Business and IT effectively.
2
Transformation & Change
Discover the necessary actions and steps for advancing in AI maturity — for individuals, teams, and the organization as a whole.
3
Real Case Learning & Adoption
Practical sessions to drive forward daily operations in AI and Analytics. Participants apply learnings directly to their own organization — using real internal use cases.
2Program Modules— 3 modules · each 3 sessions × 4h · 1,200 Training Points / module / user
1
AI & Data Analytics Transformation
LWALPTR · Feb & Sep 2026
Helps organizations drive their AI and Data Analytics transformation journey. Starts with assessing current state and maturing the necessary capabilities to advance.
Topics covered
Analytics Maturity & Capabilities
Transition Frameworks
Analytics Leadership Mindsets
AI and Analytics Literacy
Outcomes — participants will be able to:
Understand how key capabilities must play together to drive AI and Analytics change
Identify right activities for analytics transition in their own business
Explain and use key AI and Analytics transformation terms
1,200 Training Points / user
2
AI & Data Analytics Operationalization
LWALPOP · Mar & Oct 2026
Systematic operationalization of analytics as part of business processes — embedding actionable insights into the systems and workflows used for decision-making.
Topics covered
Analytics Life Cycle
Analytics Core & Emerging Roles
Organising for Analytics
Trustworthy AI & AI Ethics
Data and AI Literacy
Outcomes — participants will be able to:
Understand how to take raw data to deployment and decision in AI & Analytics solutions
Identify key roles and skill sets for AI and Analytics initiatives
Explain AI ethics and why it matters
1,200 Training Points / user
3
AI & Data Analytics Use Case
LWALPUC · Apr & Nov 2026
The Analytics Use Case Canvas gives teams a unified framework to collaborate. The Value Story acts as the strategic starting point to drive meaningful, tangible impact.
Topics covered
Analytics Use Case Canvas
Value Story and Value Creation
Analytics Capability Roadmap
Competence Matrix
Data and AI Literacy
Outcomes — participants will be able to:
Explain the value of a use case and drive it successfully
Use key questions that align business objectives to AI and Analytics initiatives
Present own use case to the group using real organizational context
1,200 Training Points / user
3Target Audience— private or public versions
Business Managers & Executives
Analytics Managers
Domain Experts
Decision Makers
Data Science Leaders
Change Leaders
Data Scientists & ML Engineers
Exploratory Analysis
Predictive Modeling
Machine Learning
Data Segmentation
Business Analysts & Report Designers
Data Exploration
Data Visualization
Analytic Analysis
Report Creation & Consumers
Data Engineers & System Owners
DBA & Security Admins
ETL Personnel
Enterprise Architects
Data Product Managers
4Ideal Customer & Discovery
Ideal customer characteristics
Mid–large organizations scaling AI
Struggling with data quality or governance
Low–mid analytics maturity
Multiple disconnected analytics efforts
Unclear roles or missing governance frameworks
Business & IT alignment gaps
Needs to scale AI adoption fast
Value Discovery Questions
1
How would you rate your organization's data and AI literacy today?
2
What does "AI readiness" mean for your organization right now?
3
If you could fix one challenge in your analytics ecosystem today, what would it be?
4
What would success look like for AI and analytics in the next 12 months?
5
What challenges are preventing your teams from scaling analytics or AI initiatives?
6
Are you confident your current AI initiatives meet regulatory or ethical standards?
7
What skills or roles do you struggle most to hire or develop?
Key Differentiators
The public version is delivered in 3 sessions of 4 hours — normal work continues uninterrupted
Can be tailored around the customer's unique business goals, challenges, and use cases
Technology-agnostic, strategy-driven — works alongside any analytics platform
Built by world-class experts: SAS AI Governance Advisory Group, SAS Industry Practice Leads, and the International Institute for Analytics (IIA)
Each module requires participants to apply learnings to their own organization
Develops the next generation of analytics professionals within the customer's org
Proven at scale: 700+ participants from 60+ organizations
Can be integrated into broader learning journeys or transformation programs
5Objection Handling— ready answers for common pushbacks
❝ We already run internal analytics upskilling. ❞
ALP is not skills training. It builds the strategic, governance, and leadership capabilities required to drive your AI and data transformation journey — filling the gap that technical upskilling alone cannot.
❝ We're not ready to start training — it's unclear what we need. ❞
ALP is designed exactly for organizations discovering readiness gaps. It identifies missing roles, processes, and governance frameworks so organizations can adopt faster — the program creates clarity, it doesn't require it first.
❝ This program is too generic — we want something tied to our business challenges. ❞
ALP can be tailored around the customer's specific business requirements and requires participants to use real internal use cases and organizational context. In the last module, participants present their use case to the group.
❝ We're already adopting analytics tools. ❞
Tools alone don't drive adoption. ALP creates the culture, governance, literacy, and cross-functional alignment required to make those tools deliver ROI. The program aligns business, IT, and analytics leaders to drive transformation together.
6Customer Case Studies
EMEA · Banking · Germany
Driving Success through Analytics Literacy
Problem
700-person consumer bank. Analytics team output was regularly misunderstood by business departments — leading to false conclusions and misaligned expectations due to lack of data literacy.
Solution
Blended approach: Data Literacy Essentials eLearning + instructor-led ALP covering the Use Case Canvas, helping business teams communicate their analysis needs effectively.
Outcome
Perfect 5/5 internal training rating. Customer integrated a customized Use Case Canvas into their processes for all analytical requests — improving collaboration between business and technical teams.
"We value our collaboration with SAS very much and look back on our participation in the SAS Analytics Leadership Program with great satisfaction."
EMEA · Public Sector · Belgium
Building Data Confidence — ALP Journey
Problem
Belgian government organization with existing SAS training points needed to build broader data and AI literacy across teams. No structured programme existed to address required roles, tools, or how AI could improve data use.
Solution
ALP combined with a focused AI workshop. Standard ALP approach blended with custom content tailored to the customer's context — delivered using existing Training Points to maximize budget value.
Outcome
Participants gained a clear understanding of AI's potential and limitations in a public safety context. Improved organizational alignment and greater confidence in exploring AI-driven initiatives.
"They particularly valued the combined standard-plus-customised approach, which they had not found elsewhere."
EMEA · Pharma · Germany
Impact on SAS Viya Modernisation
Problem
German pharmaceutical company facing major disruptions: lawsuits, failed FDA submission, CEO change, and full reorganization. Statistical Programming function needed to modernize for AI disruption and rising regulatory demands.
Solution
Tailored ALP aligned to modernization priorities + unlimited Premium Learning Subscription + 120,000 Training Points for one year + Learning Needs Assessment. Customer co-designing a tailored ALP for January 2026 launch.
Outcome
Workforce being equipped for SAS Viya adoption and new analytical workflows. PLS provides unlimited Public Live Web + unlimited eLearning across a large user base. LNA underway to precisely align training to transformation priorities.
"A learning strategy credible and comprehensive enough to match the scale of the transformation."
7Public Cohort Schedule 2026–2027— min. 10 participants · registration open until 2 weeks before start
Module
2026 H1
2026 H2
2027 H1
2027 H2
AI & Data Analytics Transformation
LWALPTR
Feb: 5, 12, 26
Sep: 3, 10, 24
Feb: 4, 11, 25
Sep: 2, 9, 23
AI & Data Analytics Operationalization
LWALPOP
Mar: 5, 12, 26
Oct: 8, 15, 29
Mar: 4, 11, 25
Oct: 7, 14, 28
AI & Data Analytics Use Case
LWALPUC
Apr: 16, 23, 30
Nov: 5, 12, 26
Apr: 8, 15, 29
Nov: 4, 11, 25
Platform: Zoom · Sessions: 3 × 4h per module · Language: English · Go/No-Go: min. 10 participants
SAS® Education · Sales Play · Workshop
Generative AI
Workshop
using MS Copilot
Workshop
using MS Copilot
"Save time, improve communication and work smarter with GenAI from day one!"
A practical, beginner-friendly, one-day online Generative AI workshop using Microsoft Copilot. No technical background required. Designed for anyone who wants to boost personal productivity and use AI safely and responsibly at work.
1 dayFull-day workshop
LiveOnline · private
5Hands-on modules
Workshop at a glance
No technical skills required
No prior GenAI experience needed
Private customer workshop only
Delivered online (Live Web)
MS Copilot licence required
Real-world work use cases
Includes building an AI Agent
Standard EMEA pricing
Customer feedback — Forestry Commission UK & Dept. of Work & Pensions UK
"We were kept engaged nearly 100% throughout and the day flew by."
"My team came back very excited."
"My team came back very excited."
Short Value Pitch for Sales
Many organizations have access to Generative AI tools like Microsoft Copilot but struggle with adoption, confidence, and practical usage. Employees feel overwhelmed and aren't sure where to begin. This workshop solves that gap through hands-on practice with Generative AI using Microsoft Copilot — with immediate productivity impact through fun, real-world, and work-related use cases.
⚠ Participant Requirement
To complete all hands-on exercises, participants need a basic subscription/licence for Microsoft 365 with MS Copilot enabled in their MS Office tools. Microsoft 365 Copilot is available in Microsoft 365 Personal, Family, and Premium plans.
1Key Takeaways to Recommend the GenAI Workshop
1
Immediate Productivity Impact
Participants leave with practical Generative AI skills and the creative mindset they can use from day one to save time on daily tasks. No theory, no delay. Real-world exercises mean the ROI starts the next working day.
2
Anyone Can Do It — No Technical Skills Required
Designed for business users, knowledge workers, and professionals — not IT teams. No coding or prior AI experience needed. This makes GenAI adoption accessible to every team in the organisation, not just the technical ones.
3
Maximises Microsoft 365 Investment
Most organisations already pay for Microsoft 365 with Copilot but few use it to its full potential. This workshop activates that investment — giving employees the confidence and skills to use Copilot in Word, Outlook, Teams, Excel, and beyond, including building their own AI Agent.
2Workshop Agenda— 5 hands-on modules · guided exercises with Microsoft Copilot
Use Generative AI
Explore Generative AI and boost your productivity at work — understanding what GenAI can and can't do.
Practical Prompting
Learn to craft effective prompts with MS Copilot — the skill that determines the quality of AI output.
Copilot in MS Office
Use Generative AI in Word, Outlook, Teams, Excel, and PowerPoint with Copilot to boost daily productivity.
Building Your Agent
Create and deploy your own standalone AI Agent — a practical highlight of the workshop.
AI for Business Automation
Understand how AI agents can automate workflows (lecture). See where GenAI drives the most operational value.
3What's Included & Goals
What's Included
One full day interactive hands-on workshop delivered as a Live Web session
Non-technical, foundation-level Generative AI content
Practical, fun, real-world and work-related use cases
Prompt engineering techniques
GenAI inside MS Office applications (Word, Outlook, Teams, Excel, PowerPoint)
Build and deploy your own standalone AI Agent
Delivered privately for your organization by an SAS expert
Standard EMEA pricing — contact training-emea@sas.com
Workshop Goals
Save time, improve communication, and work smarter with Generative AI
Boost personal productivity using Generative AI from day one
Increase confidence and readiness to adopt GenAI in daily work
Accelerate the adoption of GenAI in daily operational tasks
Use AI safely and responsibly at work
Get maximum value from existing Microsoft 365 Copilot investments
4Discovery & Differentiators
Value Discovery Questions
1
Where do people tend to lose the most time during their daily work?
2
How productive are your teams today with Generative AI? Which features are they actually using day-to-day?
3
What productivity gains would make the biggest impact this year?
4
Has your team been using the Copilot available in MS Office applications?
5
What's stopping your teams from using GenAI tools more confidently and consistently?
Key Differentiators
Maximizes existing Microsoft 365 investment — no new tools needed
Increases confidence and readiness to adopt GenAI across the organization
Hands-on practice with GenAI — not theory-heavy
Uses real-world, work-related scenarios — immediately applicable
GenAI directly within MS Office applications (Word, Outlook, Teams, Excel)
Includes building and deploying a standalone AI Agent
No technical background required
No prior Generative AI experience required
5Ideal Customer & Audience
Knowledge Workers
People who are new to Generative AI and Microsoft Copilot and want to start using it effectively in their daily work.
Business Users & Professionals
Any professional — analysts, managers, team leads — looking to improve personal productivity with Generative AI. No technical background needed.
Teams New to MS Copilot
Organizations that have invested in Microsoft 365 with Copilot but haven't yet activated or maximized its value across their workforce.
6Objection Handling— ready answers for common pushbacks
❝ We already use AI tools. ❞
Using AI tools doesn't automatically translate into productivity or value. Most organizations find that employees use GenAI inconsistently, rely on basic prompts only, and lack confidence and creativity. This training focuses on how to use GenAI effectively, not just having access to tools.
👉 Tools alone don't change how people work — skills, confidence, and practical work-related use cases do.
❝ Our people aren't technical. ❞
That's exactly who this training is designed for. This is a non-technical, hands-on program built for professionals, team leads and managers, analysts, and knowledge workers. No coding, data analytics, or prior Generative AI experience is required.
👉 AI adoption fails when it's treated as a technical topic — this training makes AI usable for everyone.
❝ We don't have time for a full-day training. ❞
One day is a small investment compared to the time your teams lose every week to tasks GenAI could handle in minutes. Participants consistently report saving time on emails, documents, research, and reporting from the very next working day. The workshop is delivered online, eliminating travel, and can be scheduled at a time that suits your organisation — morning, afternoon split, or any format that works.
👉 One day of training can save dozens of hours per person per year — the ROI is immediate.
❝ We're worried about data security and AI governance. ❞
Responsible and safe use of AI is built into the core of this workshop — not an afterthought. Participants learn how to use GenAI within your organisation's policies, what data should never be shared with AI tools, and how to apply AI ethically and transparently at work. We use Microsoft Copilot, which operates within your existing Microsoft 365 enterprise security and compliance framework — no new tools, no new risks.
👉 This workshop helps organisations reduce AI risk by building responsible habits from the start.
❝ We can find free AI training online — why pay for this? ❞
Free resources are generic, theory-heavy, and self-directed — most employees never complete them or fail to apply what they've learned to their actual job. This workshop uses your real-world work scenarios, your tools (MS Copilot you already pay for), and a live expert who adapts the session to your team's context and questions in real time. The hands-on, team-based format — including breakout discussions and building a real AI Agent — creates learning that actually sticks.
👉 Generic online content teaches theory. This workshop changes how your team works on Monday morning.
❝ We already did some internal AI training. ❞
Internal training typically covers awareness and policy — rarely hands-on practice with real work tasks. Most organisations find that after internal sessions, employees still don't use GenAI confidently or consistently. This workshop goes further: participants practice live with their own tools, learn advanced prompting techniques like the RACE framework, build an AI Agent, and explore GenAI inside the MS Office applications they use every day. Customer feedback shows that even participants with prior AI exposure discover new capabilities they weren't using.
👉 Awareness is not adoption — practice, confidence, and real use cases are what drive lasting change.
7Customer Feedback— Forestry Commission UK & Dept. of Work & Pensions UK · internal use only
Delighted with the overall class and approach.
We were kept engaged nearly 100% throughout and the day flew by.
My team came back very excited.
I discovered great practical examples that save me time.
I discovered many possibilities using Generative AI.
After the workshop I became much more creative in using Generative AI.
8Customer Case Study— anonymised · internal use only
EMEA · Public Sector · UK Government Agency
From Copilot Access to Confident Daily Use
Problem
A UK government agency had deployed Microsoft 365 with Copilot across its workforce, but adoption was minimal. Staff ranged from complete novices to those with basic AI awareness — yet none were using GenAI consistently or confidently in their daily work. Teams were unsure where to start and lacked structured guidance on safe, responsible AI use aligned to organisational policy.
Solution
SAS Education delivered a private one-day Generative AI Workshop online via MS Copilot. The session covered GenAI fundamentals, practical prompting using the RACE framework, Copilot across Word, Excel, Outlook, and Teams — and building and deploying a standalone AI Agent. Breakout sessions were used to foster team discussion around responsible AI use and organisational policies.
Outcome
Participants left enthusiastic and immediately active — several were using Copilot regularly within the week following the session. The workshop sparked a cross-team conversation about scaling GenAI training across the entire organisation. Staff shared AI Agent templates internally, and the organisation began exploring a follow-up intermediate session for more advanced use cases.
"I would recommend everybody and anybody to go through this. Having a whole day devoted to playing around with it — with someone to guide you through — was really appreciated."
Participant Feedback Highlights
A great day throughout with engaging and knowledgeable trainers. The RACE prompting was excellent and definitely worth using.
As a complete novice and sceptic about AI, I thought it was a very good introduction. The trainers were knowledgeable and engaging, and the subject matter was interesting.
The breakout rooms were a great idea to discuss items including responsible AI use — a conversation that needs having across all teams.
I have used Copilot regularly since last week and have a better understanding of it now. Thank you for organising — the day was good and the trainers were even better.
This has been a very interesting and informative day. How do we do something like this for all staff? 'Twas excellent.
↑
Adoption
Copilot active use
within 1 week
within 1 week
↑
Confidence
Staff more creative
with GenAI
with GenAI
→
Scale
Request to extend to
all staff
all staff