Enterprise AI in Practice Assessment NEW! TDWI’s new Enterprise AI in Practice Assessment can help organizations understand their current position across today's major AI technologies. The assessment ...

Creating performance metrics is as much art as science. To guide you in your quest, here are 12 characteristics of effective performance metrics. 1. Strategic. To create effective performance metrics, ...

Let your résumé show that your in-depth knowledge has been certified by TDWI, the industry’s premier provider of data and analytics education. Recognized by CIO Magazine as the top business ...

TDWI's Best Practices Awards program is designed to identify and honor companies that have demonstrated excellence in developing, deploying, and maintaining BI and DW applications. Winners are chosen ...

Keynote examines the operating shift behind agentic AI and what changes when intelligence is designed into the work itself.

Led by data science expert, Will Henry, this hands-on workshop teaches you a practical playbook for your Claude Code workflow – setting clear project instructions, planning-before-editing for ...

In this session, TDWI Research Fellow Donald Farmer and experts from IBM, Microsoft, and AMD draw on real-world migrations to show how organizations move legacy SQL Server workloads to Azure with ...

Nov. 10, 2026Market research from TDWI shows that teams are struggling to keep pace with the increased demand for data being driven by expanding self-service programs, next-generation BI solutions, ...

For enterprise AI teams, data quality should be designed as an active control system, not cleanup after something goes wrong. Many data quality programs try to improve everything at once and become ...

In today's complex data environment, successful data management is about more than just storage. It’s about ensuring data quality, compliance, and seamless integration. This page offers the latest ...

2024 State of Data Quality Report May 15, 2024 Read the new State of Data Quality report today to learn about the current state of data quality management, the top challenges organizations face, and ...