This lesson develops controlled application of Stories, Charts and Tables, Calculations, and Input Controls. The activity uses a data analytics team combining operational data, executive dashboards, planning models, and predictive capabilities for business decision support and contributes to the wider objective to model data, create analytical stories, support planning, and deliver governed SAP Analytics Cloud insights.
The instructor traces Stories, Charts and Tables, Calculations, and Input Controls through a realistic case involving a data analytics team combining operational data, executive dashboards, planning models, and predictive capabilities for business decision support. The walkthrough connects navigation, process logic, settings, system messages, and the evidence retained in analytics and planning configuration workbook. It also demonstrates how to investigate the condition where charts and tables produces an inconsistent result for the selected business condition.
Complete a controlled activity covering Stories, Charts and Tables, Calculations, and Input Controls and preserve the final result in analytics and planning configuration workbook.
Begin where expected SAP behavior first differs from the observed result. Check organizational assignments, master data, configuration sequence, authorization, integration, and transaction evidence separately. Treat “charts and tables produces an inconsistent result for the selected business condition” as a testable hypothesis until relevant settings, logs, documents, and outcomes confirm the cause.
Learners can apply Stories, Charts and Tables, Calculations, and Input Controls, explain the resulting SAP behavior, and defend the outcome through analytics and planning configuration workbook.