Map the sources
Identify systems, records, definitions, owners and handoffs relevant to the business question.
Build confidence in your information.
Understand where information comes from, how it changes and what must be true before people rely on it.
Data Quality & IntegrationWHEN THIS IS USEFUL
The situation
Sources conflict, important fields are missing or teams manually reconcile information across applications.
The intended change
An agreed information or workflow improvement with reviewable outputs, defined ownership and evidence for the next decision.
What the service covers.
Inspect and define quality
Review completeness, consistency, duplicates, timeliness and reconciliation needs. Agree quality rules and exception ownership.
Connect and verify
Design or implement the agreed data flows and checks. Validate normal and failure paths and prepare operating support.
What an agreed engagement can produce.
| Deliverable | What it makes clear |
|---|---|
| Data and ownership map | Sources, shared definitions, transformations and accountable roles. |
| Quality findings and rules | Evidence, checks, exception handling and priorities. |
| Integration or data-flow design | Interfaces, mappings, dependencies and access boundaries. |
| Verification and support guidance | Reconciliation, monitoring, recovery and handover. |
Select and tailor the deliverables to the agreed scope, access, responsibilities and acceptance criteria.
What acceptance should establish
- The business question, definitions and accountable owner are agreed.
- Results reconcile to the scoped evidence and limitations remain explicit.
- Users can apply the output, with operating ownership and review established.
Make the work concrete.
A situation to examine
Customer records use different identifiers in finance and CRM. Agree matching rules and ownership, inspect ambiguous cases and verify the resulting data flow before using combined figures for management reporting.
What to measure
Agreed quality-rule results, unresolved exceptions, reconciliation differences and source timeliness against the baseline.
Methods that support the work.
ECF →Business capability and performanceAEAF →Architecture and dependenciesAEES →Reusable engineering specifications
The service scope determines which methods, artifacts and review points are needed.
Questions about this service.
Can this begin with one data problem?
Yes. Start with a defined report, source or recurring mismatch and widen the scope only when the dependencies justify it.
How does this relate to enterprise integration?
This service emphasizes information definitions, quality and flow. The enterprise systems service addresses the wider application and business-process architecture; the scopes can be coordinated.
Define the next useful decision.
What question or task should this work support, and what information and evidence can be made available?