Oracle SCM Cloud: Planning Foundation — Lesson 4: Security, Analytics, Data Quality, and Operational Readiness

Technical Scope

• job roles, data access, planner assignments, segregation, and least privilege
• OTBI/planning analytics, KPIs, exceptions, exports, and decision support
• data-quality checks, reconciliation, missing history, duplicate supply, and ownership
• test scripts, cutover checklist, schedules, monitoring, support, and governance

Instructor Demonstration

The instructor traces job roles, data access, planner assignments, segregation, and least privilege, then connects it to OTBI/planning analytics, KPIs, exceptions, exports, and decision support. The demonstration captures the exact configuration, transaction, command, query, log, or screen evidence needed to prove intended behavior and the applicable control boundary.

Applied Workshop

Learners execute a guided lab focused on OTBI/planning analytics, KPIs, exceptions, exports, and decision support and data-quality checks, reconciliation, missing history, duplicate supply, and ownership. The exercise introduces a realistic exception related to test scripts, cutover checklist, schedules, monitoring, support, and governance and requires a reversible correction supported by before-and-after evidence.

1. Confirm scope, identities, data, dependencies, controls, and expected result.
2. Perform the product-specific configuration or analysis and record exact steps.
3. Validate functional behavior, security, data integrity, and operational observability.
4. Introduce the defined failure condition, diagnose the cause, and apply a safe correction.
5. Document rollback, acceptance evidence, unresolved risk, and ownership.

Validation Standard

Acceptance requires accurate handling of data-quality checks, reconciliation, missing history, duplicate supply, and ownership, traceable proof for job roles, data access, planner assignments, segregation, and least privilege, and a repeatable recovery path for test scripts, cutover checklist, schedules, monitoring, support, and governance. Results must be understandable to both implementers and operational support teams.

Failure Analysis

Learners compare symptoms, logs, state, dependencies, and recent changes when test scripts, cutover checklist, schedules, monitoring, support, and governance occurs. The final diagnosis must separate the immediate fix from the preventive control.

Practical Outcome

The completed output is a tested security, analytics, data quality, and operational readiness implementation or analysis, with validation evidence, troubleshooting notes, rollback guidance, and a concise operational handover.