Complete the assessment, determine your score, and use the information in this guide for advice and best practices for reaching the next stage of maturity. Organizations are excited about self-service ...

Enterprise AI in Practice Assessment NEW! TDWI’s new Enterprise AI in Practice Assessment can help organizations understand their current position across today's major AI technologies. The assessment ...

Special Note: This analysis was written by Philip Russom, Wayne's colleague in TDWI's research department who covers MDM and data integration. I don’t know about you, but when I read two, similar ...

Agents are redefining the rules of who works with enterprise data. The question for most organizations is no longer whether to use agents but how to provide them with the right data. That question is ...

As agents assume more of the implementation and operational work, organizations will need to reconsider what data engineering is intended to deliver.

For years, organizations have invested heavily in making data platforms more reliable. Infrastructure is monitored around the clock. Data pipelines generate alerts when jobs fail. Data quality ...

An unpopular opinion from someone who builds analytics for industrial operations every day: most companies in distribution, manufacturing, and marine transportation don't have an analytics problem.

Generative AI is changing how organizations interact with data and analytics. Rather than navigating dashboards, writing SQL, or relying on predefined reports, business users can increasingly ask ...

It is a demanding time for data engineering. Many enterprises have already modernized their data platforms once by moving to the cloud, but the pipelines that fed those platforms often remained the ...

Typically, what most validation pipelines do when there’s a failure is report some kind of error code or even a line number and leave a human to make sense of what ...

Analytics teams already understand the cost of poor data. Bad definitions create conflicting dashboards. Missing fields create manual reconciliation. Stale records weaken forecasting. In agentic ...