How the pieces connect
- 1Data usage
Which business processes, reports and decisions use this data?
- 2Criticality
How much harm would follow if the data were wrong, late or missing?
- 3Critical Data Element
Elements that pass the threshold are designated CDEs and given owners.
- 4Metadata
Business definition, technical attributes, owner and steward are recorded.
- 5Lineage
Trace the CDE from source system through transformations to consumption.
- 6Data quality
Define rules for completeness, accuracy, validity and timeliness, then measure them.
- 7Risk & controls
Link quality issues to risks and put preventive and detective controls in place.
Questions worth asking
Which decisions depend on this data?
Where does it come from, and how does it change?
Who owns it, and who is accountable for quality?
What goes wrong if it's wrong, and which control catches it?
- Regulator · APRACPG 235 Managing Data RiskTopic: Data risk management guidance · Last reviewed 2026-10-07
- Official industry source · BCBSPrinciples for effective risk data aggregation and risk reporting (BCBS 239)Topic: Risk data aggregation and lineage · Last reviewed 2026-10-07
- Industry body · DAMA InternationalDAMA-DMBOKTopic: Data management body of knowledge · Last reviewed 2026-10-07
Explore the available interactive journey and this educational overview. Both use general industry concepts and simulated examples; further experiences are in development.