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Lineage analysis allows organizations to understand the origin and evolution of their data. This method can visualize data flows, identify dependencies, and improve data quality.
Use this profile to understand the building block briefly, place it in the model, and switch to the 360° assessment when needed.
Executable approach: can be applied and produces an outcome.
What organizes, connects, or makes decisions possible.
Lineage analysis describes dependencies and processing steps between data sources, data objects, and their uses.
The approach grew from provenance documentation in databases and evidence requirements in reporting and regulation. Provenance standards and open event formats made data-flow descriptions interoperable across tools.
Draw a data-flow map: source, transformation, and target are nodes; directed edges show what influences a report, model, or service.
A source or processing step on which a data object depends.
A report, model, or service that uses a data object.
An investigation of which uses a change or error can reach.
Lineage exposes change risk, shortens incident analysis, and supports audit evidence. It is reliable only when dynamic, manual, and off-platform steps are captured too.
Where this building block is located in the topic model.
Explore how this building block connects to concepts, methods, technologies, and tools.
These sources establish the term and its professional meaning.
All direct connections of the current building block in a compact text view.
This classification shows where the building block typically matters, how demanding it is, and what kind of impact it has in the model.
The level within the organization (enterprise, domain, team) at which the AssetBlock is applied.