I went to a small, liberal arts college in western Massachusetts whose mascot is a “purple cow” -- presumably chosen because of the large number of cows that graze in the foothills of nearby mountains ...

There was a time when choosing a programming language for data analysis had essentially no choice at all. The tools were few and they were usually developed and maintained by individual corporations ...

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 ...

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 ...

Organizations large and small are now aware of the advantages of OBS and the flexibility of offerings of this technology. As adoption of OBS continues to increase, much of the feature functions are ...

Organizations that treat BI as an operational system will be better positioned to build trusted foundations for the next generation of AI.

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 ...

Data teams spend enormous effort taming messy sources: deduplicating customer records, reconciling systems that disagree, backfilling gaps. Meanwhile one of the most valuable potential data sets in ...

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 ...