liveBook · Manning

Provenance

As explained in Financial AI in Practice

Information describing the origin, ownership, and changes to data as it moves through systems.

Provenance records where data comes from, who owns it, and how it changes as it moves through a pipeline. In credit-data systems, it helps compliance officers trace changes months later. section 5.1

Credit data mart

A production pipeline can record which team owns each table, when its columns change, and disclaimers about negative amounts or missing bureau data. section 5.1

How Financial AI in Practice covers it

How deep it goes
Lists lineage fields and their audit purpose, without detailing how to implement lineage tracking.
Examples
Names table owners, column changes, and disclaimers about negative amounts or missing bureau data.
What you can do after
Diagnose data changes by tracing table ownership, column updates, and recorded disclaimers.
How it connects
Connects data pipelines and credit scoring with point-in-time correctness, data leakage, and regulatory audits.

Also explained in

Compare how 12 books explain provenance →

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Financial AI in Practice. The section links point to the parts of the book it draws on.