Generative Analytics Use Cases
As of 2026-08-16
6 patterns where genAI pays in SAP analytics: drill-down · anomaly · comparator · scenario · doc-Q&A · narrative report. Senior pattern: pick 2-3 high-ROI for THIS customer, ship production-ready. Success metric = time-to-decision before/after, not 'users like it'. Anti-patterns: replace dashboards entirely · AI-everywhere mandate · POC that doesn't generalize.
What you will learn
- Select 2–3 high-ROI generative analytics patterns for a given client context and justify the choice against a pattern-selection scorecard
- Design a measurable success metric — time-to-decision before/after on a named business flow — and anchor it to a renewal-ready KPI
- Diagnose the four anti-patterns that kill generative analytics projects (all-6 scope, dashboard replacement, single-user pilot, POC that does not generalise) and propose a constrained alternative
- Produce a pattern-selection architecture decision record with options, rejected alternatives, prerequisites audit, and a 10-25 user pilot plan
Module overview
Where generative AI actually pays off in SAP analytics — not "any question, any time", but a focused set of high-leverage patterns where the user's natural-language ability + the system's data access + the LLM's synthesis combine to beat traditional BI.
Prerequisites
- Review core concepts first: C024, C087, C029
Outcomes
- Understand the core concepts behind generative analytics use cases
- Apply GenAI in a typical SAP analytics engagement
- Explain the core architecture and decision points for Generative Analytics Use Cases
- Apply a repeatable implementation pattern in a 15-minute lab format
Full module available to members. The full module adds: the decision framework · the end-to-end scenario walkthrough · the KPI scorecard · the anti-patterns · the code blocks · the knowledge check · the diagrams.