TDWI's Best Practices Awards program is designed to identify and honor companies that have demonstrated excellence in developing, deploying and maintaining BI and DW applications. The best practice ...

Enterprises that deploy an intelligent data pipeline can more efficiently and effectively handle the ingestion, preparation, and delivery of data into a wide range of applications. An intelligent data ...

Analytics and data science have moved to the forefront of business decision making. The size and scope of the organizations and the complexity of tools and technologies that support these mission ...

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 ...

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 ...

TDWI's Best Practices Awards program is designed to identify and honor companies that have demonstrated excellence in developing, deploying and maintaining BI and DW applications. The best practice ...

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 ...

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

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 ...