The art and science of data modeling has delivered value in support of a wide range of data management initiatives over the past 4 decades. Beginning with the foundation of delivering a faster and more rigorous capability to design and deploy database schema, the data modeling practice has grown to support organizations involved in data integration, master data management, business intelligence and enterprise architecture. The next natural extension is in the domain of data governance.
The data model is the one place where you can store all the relevant information about a data asset (definitions, structure, relationships, integration points etc) and deliver it in a visual and contextually appropriate format for stakeholders involved in the management and consumption of data.
The data modeling practice is critical to governing data definition and providing a foundation on which to successfully design and deploy your data governance program.
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