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Enterprise data architecture refers to a collection of master blueprints designed to align IT programs and information assets with business strategy. Data architecture is used to guide data integration, data quality enhancement and successful data delivery.
Enterprise data modeling is an essential component of strong enterprise data architecture, using subject, conceptual and enterprise logical models based on business concepts and requirements to guide and support the development of effective data operations. Application data models support database management and application development
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
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
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,
Alaa Mahjoub, M.Sc., Eng. In many cases, for an enterprise to build its digital business technology platform, it must modernize its traditional data and analytics
A Subject Area Model can assist any organization in understanding its data and information requirements across the enterprise. It has many uses, more than are
Developing Conceptual Data Models (CDM) and assessing their use and adherence to standards is an excellent way to advance the understanding of data in any
A Conceptual Data Model is an essential component for describing business data and should be part of every solution model. Conceptual Data Models (CDM) have
Many organizations question the development of data models, although abstract data models have a variety of benefits, but come with some limitations Many managers, developers,
Enterprise data modeling should be an integral part of every organization’s data management practices. There are several effective approaches to useful enterprise data modeling. Enterprise
Knowing the origins of logical and physical data modeling concepts and techniques can help data architects and data analysts understand the field of data management
