This lesson develops Demand Plan Setup, Data Sources, and Hierarchies within Oracle SCM Cloud: Demand Planning Implementation.
The work is anchored to a demand-planning team producing a consensus forecast from shipment history, sales input, and statistical models, so each decision is connected to a measurable operational result and an accountable owner.
The instructor traces demand-plan definitions, planning scope, calendars, horizons, and time buckets, then connects it to shipment, booking, forecast, product, customer, organization, and channel data. The demonstration captures the exact configuration, transaction, command, query, log, or screen evidence needed to prove intended behavior and the applicable control boundary.
Learners complete a controlled exercise that applies shipment, booking, forecast, product, customer, organization, and channel data and levels, hierarchies, measures, aggregation, disaggregation, and security. The exercise introduces a realistic exception related to data collection, missing history, hierarchy errors, and baseline readiness and requires a reversible correction supported by before-and-after evidence.
Acceptance requires accurate handling of levels, hierarchies, measures, aggregation, disaggregation, and security, traceable proof for demand-plan definitions, planning scope, calendars, horizons, and time buckets, and a repeatable recovery path for data collection, missing history, hierarchy errors, and baseline readiness. Results must be understandable to both implementers and operational support teams.
Learners compare symptoms, logs, state, dependencies, and recent changes when data collection, missing history, hierarchy errors, and baseline readiness occurs. The final diagnosis must separate the immediate fix from the preventive control.
The completed output is a tested demand plan setup, data sources, and hierarchies implementation or analysis, with validation evidence, troubleshooting notes, rollback guidance, and a concise operational handover.