
An Enterprise Perspective for Data Modeling
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
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,
Every successful data governance program follows these seven essential guiding principles The secret for the success of a data governance program is in finding the
Every organization needs to control and manage its common data effectively. Following Master Data Management’s best practices can provide the right single view of customer,
Improvements in information technology can help business deal with vast amounts of information in a way that is economically advantageous Business runs in the space
Truly valuable metadata is both active and smart. There are methods that can be implemented to ensure active and smart metadata. In information technology, there
Cyber-Physical Systems (CPS) are engineered systems that orchestrate sensing, computation, control, networking, and analytics to interact with the physical world (including humans), and enable safe,
It is important to understand the non-technical or “cognitive” dimensions of Knowledge Management, dimensions that describe the learning processes of an organization and its acquisition
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