Build a reconciled reporting dataset
Sequel Data Warehouse is an IBM i warehousing enquiry for bringing data into a reporting structure. The project should start with business definitions and source ownership. Moving data into a new structure does not automatically resolve inconsistent identifiers, missing records or different interpretations of the same measure.
Map sources, transformation rules, refresh requirements and the reports that will depend on the warehouse. Confirm supported connections and the selected deployment. Decide how historical changes and corrections are represented so users can understand whether a report reflects current state, a period-end view or another approved basis.
Accept the refresh and reconciliation process
Pilot a bounded dataset and reconcile counts, totals and representative records with the source owners. Test failed or partial refresh handling and make stale information visible. A warehouse should not quietly present yesterday’s incomplete result as today’s complete view.
Handover should include mappings, transformations, data-quality exceptions, access roles and refresh recovery. For a UAE group with several business systems, establish who resolves conflicting master data and approves shared definitions. MMC can scope selected integration and reporting deliverables; data cleansing, ongoing stewardship and changes to source applications should be priced and assigned separately.
Evidence to request for this scope
- Document source-to-target mapping and the approved meaning of calculated values.
- Validate a complete refresh and a controlled failed-refresh scenario with visible freshness status.
- Reconcile representative records and totals before granting wider reporting access.