Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud
Apply augmented analytics, predictive scenarios, smart insights, and explainable analysis within SAP Analytics Cloud through four SAP-focused lessons with exercises, validation, troubleshooting, and operational handover.
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-by SkillDynamo
- 0 Students
- Last updated
Course Description
Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud develops the practical capability to apply augmented analytics, predictive scenarios, smart insights, and explainable analysis within SAP Analytics Cloud. The course connects SAP concepts with controlled execution, evidence-based decisions, and responsibilities that can be reviewed after implementation.
Applied work follows a commercial analytics team seeking defensible forecasts, driver analysis, and actionable insights from changing sales and margin data. Learners create augmented analytics data readiness workbook, predictive scenario comparison pack, explainable insight and stakeholder evidence pack, augmented analytics governance and adoption plan. Scenario testing addresses realistic conditions including a predictive driver appears influential because missing values were handled inconsistently; the selected model scores well globally but performs poorly for a priority customer segment; an automatically generated explanation implies causation unsupported by the underlying analysis; a refreshed model changes recommendations without triggering the required business review.
By completion, participants can apply the relevant SAP processes and configuration, explain observed results, correct supported exceptions, and hand over monitored controls that sustain explainable augmented analytics.
What You Will Learn
- Explain data preparation and connect it to dependable explainable augmented analytics decisions.
- Configure feature selection for controlled explainable augmented analytics across approved business scenarios.
- Execute classification scenarios while preserving reviewable statuses, approvals, and evidence.
- Validate regression models against process, integration, access, and data expectations.
- Diagnose smart insights when SAP behavior diverges from the approved operating design.
- Resolve search to insight exceptions through correction, retesting, and documented ownership.
- Interpret story integration results to prioritize risks and practical improvement actions.
- Prepare thresholds and alerts handover records with monitoring triggers and accountable follow-up.
SkillDynamo Training Approach
Training combines course-specific demonstrations, hands-on SAP exercises, scenario analysis, validation checkpoints, troubleshooting discussions, and a final operational improvement plan for Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud.
Curriculum
- 1 Section
- 4 Lessons
- 24 Hours
- Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud Curriculum4 Items
- 1.1Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud — Lesson 1: Data Preparation, Smart Discovery, and Analytic Readiness6 hours
- 1.2Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud — Lesson 2: Predictive Scenarios for Classification, Regression, and Time Series6 hours
- 1.3Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud — Lesson 3: Smart Insights, Search to Insight, and Explainability6 hours
- 1.4Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud — Lesson 4: Story Integration, Governance, and Decision Adoption6 hours
SkillDynamo Expert Team
Instructor-led delivery tailored to Applying AI-Powered Augmented Analytics to Business Data in SAP Analytics Cloud, with SAP-specific demonstrations, guided practice, scenario testing, validation checklists, troubleshooting guidance, and structured operational handover.
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