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 ...

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

This TDWI Data Points report focuses on how enterprises are modernizing their data strategies and architectures to meet the ...

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, ...

TDWI Best Practices Report | Data Strategies and Foundations for Modern Data Management 6.2.2025 It is challenging—yet exciting—to compete, collaborate, innovate, and drive efficient business and IT ...

Unlocking the Power of AI And Retrieval-Augmented Generation in the Enterprise 4.30.2025 Momentum is still growing around generative AI, and many organizations who’ve been experimenting with AI now ...

Data Quality at Scale Begins with Data Observability 2.28.2025 Data is valuable—bad data is expensive. As organizations rely more on data to fuel decisions and power large language models, the cost of ...

What You’ll Gain: 🚀 Cutting-Edge Insights – Explore the latest trends from TDWI’s AI readiness assessment and see where your organization stands. 💡 Inspiring Case Studies – Learn how top ...

Prediction #1: Expanding Generative AI Usage Adoption of generative AI will accelerate across business and consumer markets in 2025 and beyond. Already, generative AI features are becoming a key ...

Is Your Data AI-Ready? The path to AI-driven innovation is paved with data readiness. These three indicators provide a quick data readiness assessment. By John Peluso July 31, 2024 The promise of ...

Harnessing the Decision-Making Power of Prescriptive Analytics Exploring the transformative power of data-driven decision-making and seven steps to help you implement prescriptive analytics. By Greg ...

2024 State of Data Quality Report 5.15.2024 Enterprises rely on robust data quality management to address challenges and seize strategic and operational advantages in today’s business environment.