Where this offering fits
Data Hub is a data-governance and trusted-record enquiry. Its value depends on how the organisation defines authoritative entities and resolves conflicting source information. Combining records does not automatically determine which value is correct or who may approve a merge.
Architecture and rollout decisions
Choose an entity such as a customer or supplier and define identifiers, matching and stewardship. Confirm supported source integrations and permissions. Pilot conflicting and duplicate records with the business owner. Validate how approved corrections reach consuming systems and how lineage is retained. Treat deletion and consent-related requirements as explicit lifecycle decisions where applicable.
An evaluation scenario for this offering
Build a small fictional supplier dataset with two records that should match, two similar records that must remain distinct and a disputed contact value. Ask the authorised steward to review the proposed outcome under the selected Data Hub configuration. Follow an approved correction to the intended downstream consumer and reconcile its result. Include a record whose ownership is unclear so the process exposes an unresolved stewardship decision rather than merging it by convenience. Retain source identifiers, matching rationale, approvals and lineage. Success means the agreed entity rules are applied transparently, not that every apparent duplicate is automatically combined.
Evidence to request for this scope
- Define entity ownership and matching rules.
- Test merge, correction and rejected changes.
- Document lineage and downstream propagation.