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 need to know more than just the "what"; they need to know the "why" and the "what's next." Advanced analytics allows users to examine and manipulate data to drive positive business results ...

Recently, TDWI has observed that organizations are feeling a lot of pressure to implement AI and generative AI. Given this, AI needs to be trusted. Creating trusted AI systems starts with a commitment ...

We’re drowning in data. We’ve got data marts, data warehouses, cloud applications, big data systems, and lots of different tools. Our technology budgets continue to grow, but we still have data issues ...

TDWI’s Best Practices Awards recognize organizations for developing and implementing world-class business intelligence and data warehousing solutions. Below are summaries of the winning solutions for ...

More than 10 million banking customers are eligible for cash loans, providing a tremendous incentive for HDFC Bank to selectively identify its customers with the greatest chance of responding in an ...

Where data, analytics, and AI teams go to transform their strategy, skills, and careers.

Your organization doesn’t just need data to support vital strategic insights, it needs high-quality, accurate, complete data. Modern data quality management involves scaling data quality processes, ...

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 ...

Equip your organization with the skills and tools needed to turn data into actionable insights. On this page, you'll find the latest research reports, webinars, training sessions, podcasts, and expert ...