Definition · data governance
Data provenance
Data provenance is the documented origin and transformation history of a piece of data, from its source through every processing step. For data provenance, the important details are the accounting period, source evidence, reviewer, materiality threshold, and control purpose that make the treatment auditable during close, reporting, and later review.
Also known as data origin, provenance tracking
Why it matters
Understanding data provenance matters because close, reconciliation, and audit work depend on consistent timing, source evidence, review thresholds, and ownership. A loose definition creates avoidable rework. Data provenance is the record of where a figure came from and how it was transformed. In Pluvo every number resolves to its source records in a couple of clicks, so provenance is part of the answer rather than something reconstructed afterward.
In practice
Close example
Teams use data provenance during close, review, or audit support when a balance or transaction needs evidence. The controller should be able to trace the number to source records, timing, reviewer, and control threshold.
Pluvo example
Data provenance is the record of where a figure came from and how it was transformed. In Pluvo every number resolves to its source records in a couple of clicks, so provenance is part of the answer rather than something reconstructed afterward.
In practice, teams should define data provenance with a clear source, owner, time period, and decision before they use it in reporting, planning, or operating reviews.
Understanding data provenance matters because close, reconciliation, and audit work depend on consistent timing, source evidence, review thresholds, and ownership. A loose definition creates avoidable rework. Data provenance is the record of where a figure came from and how it was transformed. In Pluvo every number resolves to its source records in a couple of clicks, so provenance is part of the answer rather than something reconstructed afterward.
A strong workflow for data provenance separates the definition from the action: first agree what the term means, then decide how it is measured, when it changes, and who is accountable for the next step.
Data provenance is the record of where a figure came from and how it was transformed. In Pluvo every number resolves to its source records in a couple of clicks, so provenance is part of the answer rather than something reconstructed afterward.
FAQ
What is data provenance and why does it matter?
Data provenance is the documented origin and transformation history of a piece of data, from its source through every processing step. For data provenance, the important details are the accounting period, source evidence, reviewer, materiality threshold, and control purpose that make the treatment auditable during close, reporting, and later review.
What is the difference between data provenance and data lineage?
The boundary for data provenance differs from related terms by scope, source data, time period, and decision use. In this glossary, it covers the documented origin and transformation history of a piece of data, from its source through every processing step, so teams should compare those boundaries before using it in reporting or planning.