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Enterprise data management often suffers from a lack of funding and organizational support. There is a solution. As organizations examine the need for enterprise data
Every professional should create and maintain a personal brand to distinguish themselves and support their careers In recent years, there has been a lot of
Data is an asset that has a distinguishing characteristic: the more it is shared, the more its value and potential impact increase. It is important
Not all responsibilities for data and its management fall under the role of Chief Data Officer (CDO). Different data types require different accountability, and different
Data privacy, data protection, and data security are not synonymous. They are complementary and all aspects should be embraced by organizations to guard their personal
Every organization should review this list of enterprise data / information management challenges and the possible solutions to sustain any EIM program Enterprise Information Management
It is essential to consider the enterprise view when designing any data model. There are many benefits to adopting an enterprise perspective with data modeling
Analyzing an organization’s information value chain can provide important insights into its enterprise architecture, its data management practices, and gaps to be filled. A popular
To have a mature business analysis practice includes the ability to share and reuse requirements between projects and initiatives Business analysis capability is a key
There are some common components of every effective enterprise data model, starting with the subject area and conceptual models. These are foundational parts of every
Data architecture is an essential component and function of all successful organizations. What is “data architecture,” and why is it valuable? A popular credit card
Evolution is a constant, and for data and data management, evolution is essential Evolution of Data Change is the only constant in life, and technology,
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