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

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 ...

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 ...

I’ve learned that separating hype from readiness isn’t about asking “Can it work?” but rather “Will it work here, with our ...

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?

CEO Sridhar Ramaswamy envisions autonomous AI agents handling the grunt work, freeing data teams to focus on strategy.

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 ...