Data modeling has entered a new era where metadata is the core of enterprise data management. The power of data modeling to communicate visually and its usefulness for harnessing metadata is established and adds value. This interesting information came to us in the article, “How Data Modeling Supports Effective Data Governance Presented“, by AIThority.
Data governance is the process of defining the rules that data has to follow, and data stewardship makes sure that the data follows those rules. Documenting how your company manages its data and then developing metrics to monitor the effectiveness of those management practices. Metadata is structured information that describes, explains or otherwise
makes it easier to retrieve, use or manage an information resource
Effectively governing data and drawing intelligence from it depends on effective metadata management. Metadata must be visualized to communicate its meaning to stakeholders in the data value chain. Visualization breaks down the complexity of data organization.
In short, data governance uses metadata management to impose management and discipline on the collection and control of data. Metadata management refers to the activities associated with ensuring that metadata is properly created, stored, and controlled so that the data is consistently defined across the enterprise.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.