Your business might have more than 300 applications, with 50 different databases and a different schema for each one. There’s increasing regulatory pressure because of global data regulations, such as the European Union’s General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). And then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage.
One of the most compelling use cases for a strong data modeling approach lies in its connection to the increasingly important and evolving realm of data governance. Today’s enterprise embraces data governance to drive data opportunities, including growing revenue, and limit data risks, including regulatory and compliance gaffes. Data modeling solutions that incorporate a controlled central repository of data definitions and provide visibility into where and how properly defined data is to be used are the foundation of solid data governance.
Interested in more information?