According to TDWI research, generative AI will be the top analytics investment area in 2025. Generative AI offers the opportunity for new innovations and new ways of thinking that can provide new ...
Data is valuable—bad data is expensive. As organizations rely more on data to fuel decisions and power large language models, the cost of poor data quality has soared. Missing, inaccurate, or ...
In an increasingly complex analytics and AI landscape, data governance is more critical than ever. It’s the foundation to ensure quality data is readily available for successful AI projects. Yet ...
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. Winners are chosen ...
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 ...
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 ...
Self-service business intelligence (BI) and analytics typically involves allowing nontechnical users throughout an organization to directly access data for self-directed discovery, analysis, ...
[NOTE -- My new TDWI report about High-Performance Data Warehousing (HiPer DW) is finished and will be published in October. The report’s Webinar will broadcast on October 9, 2012. In the meantime, ...
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 ...
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 ...
TDWI research indicates that organizations view analytics as an opportunity to help in better decision making, to better understand customers, and to improve business performance. At the same time, ...
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