Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud — Lesson 3: Smart Insights, Search to Insight, and Explainability

Learning Objectives

• Explain how Smart Insights, Search to Insight, and Explainability supports explainable augmented analytics.
• Complete the workflow and produce a reviewable explainable insight and stakeholder evidence pack.
• Evaluate the condition where an automatically generated explanation implies causation unsupported by the underlying analysis and select a supported response.

Detailed Topics

• smart insights: business purpose, responsible roles, and SAP objects that establish the operating scope.
• search to insight: configuration choices, master-data dependencies, and determination logic shaping the result.
• key influencer analysis: transaction flow, status behavior, integration effects, and reviewable operational evidence.
• explanation narratives: control points, exception paths, testing needs, and release criteria protecting the outcome.

Instructor Demonstration

The guided walkthrough connects smart insights, search to insight, key influencer analysis, explanation narratives to the intended business outcome and control evidence. Learners see the expected SAP behavior, what belongs in explainable insight and stakeholder evidence pack, and how to respond when an automatically generated explanation implies causation unsupported by the underlying analysis.

Hands-On Exercise

Complete a controlled activity covering smart insights, search to insight, key influencer analysis, explanation narratives and preserve the result in explainable insight and stakeholder evidence pack.

1. Define the expected business outcome and the SAP objects that should produce it.
2. Perform the lesson scenario, retaining before-and-after evidence for every material decision.
3. Test the exception without altering unrelated settings or data, then explain the first failure point.
4. Apply proportionate remediation and complete a focused regression check before approval.

Scenario Analysis

• Which SAP object, rule, record, or process step most strongly influences Smart Insights, Search to Insight, and Explainability?
• What evidence separates configuration, data, authorization, integration, and timing causes in this scenario?
• How should the explainable insight and stakeholder evidence pack be approved, retained, monitored, and updated after handover?

Troubleshooting Guidance

Start at the earliest point where expected behavior differs from the observed result. Review process sequence, relevant data, configuration, authorization, integration, and timing as separate hypotheses. Treat “an automatically generated explanation implies causation unsupported by the underlying analysis” as unconfirmed until settings, documents, logs, reports, and focused retesting support the cause.

Validation Checklist

• Required roles, structures, data, settings, and dependencies for Smart Insights, Search to Insight, and Explainability are present.
• The explainable insight and stakeholder evidence pack links each conclusion to objective and reviewable SAP evidence.
• Normal processing, the stated exception, integration behavior, and access boundaries were tested.
• Corrections, retest criteria, ownership, monitoring, documentation, and operational handover are complete.

Lesson Outcome

Learners can apply Smart Insights, Search to Insight, and Explainability, explain the resulting SAP behavior, and defend the outcome through explainable insight and stakeholder evidence pack.