Understanding data is a prerequisite to gaining control of any enterprise. But understanding is only useful if that knowledge can be shared and transmitted. Effective data modeling should be a ...

The heart of the genome structure is that it makes the case as a living model. A blueprint falls short because it’s a rigid, ...

Data modeling uses abstraction to better understand and represent the nature of the flow of data within an enterprise-level information system. The types of data models include: Conceptual data models ...

When designing an effective enterprise data strategy, organizations often choose between a top-down and a bottom-up approach. Each method has its unique advantages and is suitable for various ...

Data architecture translates business needs into data and system requirements, and seeks to manage data and its flow through the enterprise.

There is no question that the model-based enterprise (MBE) is the preferred track for organizations aiming for best-in-class development practices and, ultimately, more innovative products. Yet too ...

Discover the power of enterprise data modeling. This white paper reveals how it drives business value and lays the foundation for effective governance. Unearth insights on how to optimize data for ...

erwin Data Modeler adds NoSQL and Data Vault 2.0 data modeling and schema engineering erwin Data Intelligence to expand data visibility with new dashboards and new automation capabilities for ...

AOB needed help building an enterprise data solution that included an analytical model that allowed them to look both back in time and forward into the present day-to-day business operations ...

A data- and model-driven organization is an enterprise that cultivates a culture of continuously using data and machine-intelligence techniques to make all business decisions.