This expert panel will discuss the importance of integrating your data and AI platforms, provide guidance for integrating those enterprise environments, and spell out the challenges that enterprise IT ...

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 ...

Leadership and Management is a key success factor for BI programs and projects, with a strong focus on effectively integrating people, processes, and technology to deliver business value. The field ...

TDWI’s Certified Business Intelligence Professional (CBIP) credential is the business intelligence and data warehousing industry’s most meaningful and credible certification program.

Ten Mistakes to Avoid The Ten Mistakes to Avoid series, published quarterly, addresses the 10 most common mistakes managers and teams make—from data modeling to building an operational data store—and ...

The Role of Hardware in High-Performance Data Warehousing By Philip Russom, TDWI Research Director [NOTE -- My new TDWI report about High-Performance Data Warehousing (HiPer DW) is finished and will ...

The Data Products Blueprint: 10 Key Attributes for Faster Business Impact 6.25.2025 Many organizations are still struggling to turn chaotic data into real business outcomes. If that sounds familiar, ...

Creating an AI-Ready Organization 6.25.2025 Artificial intelligence (AI) has become a driving force behind innovation, capturing the attention of organizations eager to unlock its transformative ...

Download this TDWI Playbook today to learn how you can advance your data science with AI-infused tools while minimizing risk and maximizing business value.

RevOps teams still struggle with inefficient segmentation, suboptimal territory design, and a lack of actionable insights. The result? Blind spots in your addressable market and missed opportunities ...

This TDWI Data Points report focuses on how enterprises are modernizing their data strategies and architectures to meet the demands of AI, navigate economic uncertainty, and address the evolving need ...