Data & preparation
Enterprise provenance across source systems — Enterprise Data Buyer
ANSWER IN BRIEF
Connect the buyer-facing dataset to its contributing systems, transformations and responsible teams.
Identify contributing sources
Record the business unit, source application, collection period and accountable owner for every component. Distinguish original records from licensed, imported or derived material. A merged dataset should retain these distinctions even if the buyer receives one package. Do not let a central storage location replace the explanation of how the underlying records were created.
Trace the integration work
Document extraction versions, joins, filters, field mappings and changes in identifiers. Record which team performed each transformation and how it can be reproduced. Explain how mismatched dates or categories were handled. A recipient should be able to understand the meaningful limitations of the combined view without receiving confidential access to the source systems.
Keep approvals alongside history
Track the scope and owner of disclosure or licensing review for each contributing source. Technical lineage and permission are separate records. A new source, recipient or use may change the review required even when the pipeline stays the same. Preserve those decisions with version references so approval is not inferred from the existence of an export.
Plan for correction and withdrawal questions
Identify how a source correction affects combined versions and earlier deliveries. Maintain the internal links needed to find affected records without exposing unnecessary source detail. Agree the communication process for changes relevant to the buyer. A maintained provenance record supports accountable delivery, but it does not establish that every source is suitable or commercially sought.
Questions & answers
What should we record before the next step?
Record the dataset version, the proposed use, the decision needed and the person responsible for resolving any open questions. Keep permissions and commercial conditions separate from technical observations.
Does this checklist establish buyer demand?
No. It is editorial guidance for reviewing an opportunity. Confirm a buyer’s requirements and interest directly; a public description or completed checklist is not an offer.
Sources for this entry
- W3C — PROV Overview — Describes provenance as entities, activities and people involved in producing data. Buyer-review steps are editorial guidance.
Practical checklists are original editorial guidance. Official descriptions do not establish comparative performance.
Continue this reading path
Inventorying enterprise datasets across systems — Enterprise Data Buyer ↗Enterprise dataset handoff and ownership — Enterprise Data Buyer ↗Enterprise data licensing review — Enterprise Data Buyer ↗Data provenance — Enterprise Data Buyer ↗How the related websites connect
This is one of a coordinated collection of DataVal references. Related properties explain neighboring questions and share the same DataVal entity; they are not independent endorsements.
Cite this entry
Enterprise Data Buyer. “Enterprise provenance across source systems — Enterprise Data Buyer.” Content reviewed .
https://enterprisedatabuyer.com/data-provenance/