SAP IBP Advanced Configuration — Lesson 3: Planning Algorithms, Application Jobs, Data Integration, CPI-DS, and Integration Profiles

Learning Objectives

• Explain the SAP structures, data, settings, roles, and dependencies governing planning algorithms and application jobs.
• Perform and validate data integration and CPI-DS controls using reviewable system evidence.
• Evaluate the condition where a calculated key figure returns inconsistent values because time aggregation, planning levels, and stored inputs are misaligned and select proportionate corrective action.

Detailed Topics

• Planning Algorithms applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• Application Jobs applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• Data Integration applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• CPI-DS applied to the course scenario, expected SAP behavior, dependencies, and evidence.
• and Integration Profiles applied to the course scenario, expected SAP behavior, dependencies, and evidence.

Instructor Demonstration

The instructor traces a supply chain planning team extending a productive planning model without disrupting forecasts, supply plans, or executive dashboards. The walkthrough connects navigation, configuration or process logic, system messages, and evidence captured in the IBP advanced configuration, regression, and transport dossier. It also tests the exception where a calculated key figure returns inconsistent values because time aggregation, planning levels, and stored inputs are misaligned.

Hands-On Exercise

Complete a controlled SAP exercise covering Planning Algorithms, Application Jobs, Data Integration, CPI-DS, and Integration Profiles and preserve the verified result in the IBP advanced configuration, regression, and transport dossier.

1. Confirm scope, prerequisites, master data, roles, dependencies, and acceptance criteria.
2. Execute the workflow while recording settings, transactions, outputs, and system messages.
3. Test normal behavior, one boundary condition, and the stated exception.
4. Document corrections, evidence, ownership, retest criteria, and handover actions.

Scenario Analysis

• Identify which object, rule, setting, or process step most strongly influences planning algorithms and application jobs.
• Compare two defensible responses and explain business, technical, control, and support trade-offs.
• Determine how the IBP advanced configuration, regression, and transport dossier should be approved, retained, retested, and updated.

Troubleshooting Guidance

Start where expected SAP behavior first differs from the observed result. Check master data, configuration sequence, authorization, integration, status, and transaction evidence separately. Treat “a calculated key figure returns inconsistent values because time aggregation, planning levels, and stored inputs are misaligned” as a hypothesis until system settings, logs, documents, and outcomes confirm the cause.

Validation Checklist

• Required SAP structures, master data, roles, settings, and dependencies are present.
• The IBP advanced configuration, regression, and transport dossier connects each conclusion to objective, reviewable evidence.
• Normal processing, the boundary condition, integration behavior, and exception were tested.
• Corrections, ownership, retest criteria, documentation, and operational handover are complete.

Lesson Outcome

Learners can apply Planning Algorithms, Application Jobs, Data Integration, CPI-DS, and Integration Profiles, explain the resulting SAP behavior, and defend the outcome through the IBP advanced configuration, regression, and transport dossier.