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 AI-enabled features to improve autonomy and speed.

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 ...

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 ...

Will some data remain at the business unit level and not be part of the enterprise data model?

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.

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 ...