[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 ...

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 ...

Discover how Google Cloud's multi-layered data security approach can help safeguard your sensitive data assets in the cloud. From data platform-level security features to access controls, perimeter ...

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 ...

Your enterprise already uses operational data—such as customer information, financial transactions, and inventory levels—to improve processes and customer experience. But if this information isn’t ...

Are you ready to harness the full potential of AI for your organization? In today's rapidly evolving business landscape, organizations are increasingly turning to AI to drive innovation, optimize ...

As the year kicks off, organizations and companies across the globe are continuing to pour resources into AI. According to reporting from IDC, AI is set to have a $20 trillion impact on the global ...

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 ...

Modern organizations increasingly rely on real-time decision-making, often driven by high-performance, highly accurate AI models. To ensure these models reflect the most current operational data, it's ...