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
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
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