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 ...

Enterprise data platforms increasingly unite analytics, governance and orchestration, with new generative and agentic ...

Artificial intelligence (AI) is moving fast, and the infrastructure that supports it is playing catch-up. If data is the new oil, then many organisations are still drilling with r ...

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 ...

ACORD, the global standards-setting body for the insurance sector, has released a new model aimed at enhancing the standardisation and exchange of data across the industry's enterprise systems. The ...

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 ...

So, given that, do you need an enterprise data model? If you are building a more or less stand-alone application where the data has no significant reuse, then data modeling is often counterproductive.