Information Governance expert discusses how data modeling’s visual power and metadata management contribute to better data governance—in a new article from Messaging Architects
Messaging Architects, an eMazzanti Technologies Company and data governance consultant, discusses how data modeling promotes effective data governance in a new article on the Messaging Architects website.
The informative article first asserts that data modeling has entered a new era where metadata is the heart of enterprise data management. The author then discusses the power of data modeling to communicate visually and its usefulness for harnessing metadata. He then presents several ways that data modeling facilitates enterprise data management and provides value.
“Historically the best way to understand complex data sources, the scope of data modeling continues to expand,” stated Greg Smith, Vice President of Services Delivery at Messaging Architects. “Its importance as the focal point of collaboration between data producers, curators and users also grows.”
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Visually Empowers
“Data modeling excels as the preferred way to design and deploy new complex data sources. The power of a data model to communicate visually empowers those who manage and govern, enabling smarter decisions.”
Harnesses Metadata
“Effectively governing data and drawing intelligence from it depends on effective metadata management. In addition to harvesting and cataloging, metadata must also be visualized to communicate its meaning to stakeholders in the data value chain. Visualization breaks down the complexity of data organization and clearly identifies data relationships.”
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Facilitates Enterprise Data Management
“Data modeling captures and circulates how the organization defines and uses data. It facilitates design task automation and enforcement to promote data integrity. Managing the data source design and maintenance lifecycle, the data modeling process also results in a more flexible and governable data architecture.”
The Value of Data Modeling
“Data modeling promotes and enhances effective data governance and other positive outcomes. For example, it facilitates collaboration within an organization because it serves as a visual reference point for everyone in the organization seeking to meet governance requirements.”
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