For most companies, the first step in building an advanced data foundation is to cleanse the trove of business data already on hand in their customer relationship management (CRM) system. And while ...
Companies have assembled teams of data scientists to identify trends, predict outcomes, and make recommendations. While companies have invested in specialized development tools for data science, ...
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 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 ...
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 ...
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 ...
Enterprises will focus on building robust governance into their generative AI pipelines in 2025 and beyond. In the recent TDWI data and analytics survey, 60% of enterprises said their organizations’ ...
As organizations strive to realize the potential of AI, the complexity of modern data environments has grown. Many organizations are dealing with increasing volumes of data from diverse sources ...
The generative artificial intelligence (AI) boom will continue unabated over the next several years. As 2025 approaches, I predict the following key trends in generative AI. Adoption of generative AI ...
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