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Data governance has 10 key components that exist to meet the enterprise’s data management requirements. All are essential to success Data governance is the foundation
Having an organizational understanding of the essential data used across the enterprise, through the development of a Subject Area Model and a foundational Conceptual Data
So many organizations do not have a basic component for success in the information age: an enterprise data strategy. The risks of not having and
Although data strategy involves many best practices, some aspects to the conventional wisdom may be more effective in real life Most data management professionals have
A key principle to start and sustain any successful business process is to “treat data and information as a product.” There are many issues related
Business analysis efforts should start with a conceptual data model based on use case content Successful business analysis requires understanding of business. One of the
Every organization needs to know and apply proven, best practices in data governance to be able to realize the value of their data and information
Applying some habits from “social distancing” to data could have a variety of benefits for any organization As an adage goes, “Desperate situations call for
Using sustainable approaches in information technologies, especially with business intelligence and analytics initiatives, can help organizations improve the planet and their profits Sustainability is a
Master Data Management can support a total view of common data (customer, product, location, etc.) Agile data governance can support the development and implementation of
Architecture is not what is tangible, that is the result of architecture. Architecture is the set of descriptive representations that are required to create an
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