Now let's look at the common ground between MDM and DG. Point 1
. The top-level data model in the DG system is created based on the business IT landscape when all available data sources are combined. Sources are:
- Information systems.
- Data models of MDM systems.
The DG system must parse the structure from the database, other systems, streams, or reports to create suitable data models and link them together. As a rule, ready-made models of MDM systems do not need to be parsed, which significantly simplifies both the process of the initial loading and updating when changes are made to the data source. Point 2
. The data model of an MDM system is much easier to evaluate from the asset's point of view than with other types of data sources. In addition, the data model already combines several sources that are unified and contain reference data, i.e. it is an agglomerate.Point 3
. Business terms, data management policies, and regulatory requirements are easier to translate to performers through MDM systems since MDM contains all the necessary tools for data management.
Thus, even if the DG class solutions are independent and can solve all the necessary tasks, but the integrated use of DG and MDM solutions gives an amplifying effect that affects both the integration process of new solutions and the data management itself.