TDWI instructor Chris Adamson defines dimensional data modeling as “the nexus of a holistic approach to managing business intelligence, analytics, and governance programs. Used at a program level to ...

Data visualization and visual data discovery can enable diverse types of users—from data scientists working with big data to nontechnical business managers and frontline users—to see significant ...

[NOTE: The following article was published in the TDWI Trip Report of May 2012.] The Technology Survey that TDWI circulated at the recent World Conference in Chicago asked attendees to answer a few ...

Visit the CBIP group at tdwi.org/linkedin/cbip. Since 2003, TDWI and the ICCP have provided the CBIP certification to global business and industry through their ...

For business intelligence and analytics, in-memory computing is a groundbreaking development. In-memory computing can free users from many of the performance constraints on data access and analysis ...

Self-service business intelligence (BI) and analytics typically involves allowing nontechnical users throughout an organization to directly access data for self-directed discovery, analysis, ...

This is a list of the winners of TDWI's Best Practices Awards 2008 program, which is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and ...

Nothing can ruin analytics faster than bad data. If users lose trust in the data, they will lose confidence in analytics and be unable to put insights into action. Organizations are facing new ...

[NOTE-- My new TDWI report “Integrating Hadoop into Business Intelligence (BI) and Data Warehousing (DW)” (Hadoop4BIDW) is finished and will be published in early April. I will broadcast the report’s ...

TDWI research shows that while organizations cite generative AI as a top priority, most are struggling with implementation and lagging in maturity. Join us for an insightful TDWI Summit event where ...

Enterprises are increasingly exploring opportunities to productize their data assets where appropriate. They are monetizing their data by packaging it—along with such data-derived assets as trained ...