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The source system analysis aims to understand the existing data sources and their architecture. It assists in optimizing data integration and migration while identifying potential issues early on.
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.
Source system analysis examines the origin, structure, quality, ownership, and change behavior of data before it is processed further.
The approach emerged from data integration, database, and data-warehouse practice. As ETL and data-warehouse architectures matured, systematically examining upstream systems became a standard step in preparing data.
Treat each source system as a source with its own language: who supplies which data, in what format, with what meaning and quality? That map shows how data can be combined safely.
The traceable chain from a data value back to its origin.
The described structure and typing of supplied data.
How fit data is for a defined purpose.
The analysis prevents unclear meaning and quality problems from reaching reports or products unnoticed. It provides an integration foundation but does not replace ongoing monitoring or accountable data ownership.
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.