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

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 ...

Join TDWI VP of Research Fern Halper as she unpacks the findings from TDWI’s June 2025 report The Data Foundation for AI, followed by a candid fireside chat with leaders from T-Mobile, Capgemini, ...

In 2021, the European Commission introduced changes to the GDPR that are intended to further enhance the effectiveness of the law. This article looks at the changes and how they can affect everyday ...

Five Characteristics of a Data-Driven Company What makes an organization more data-driven in the digital age? Here are the answers from the companies' industry experts themselves. By Irina Peregud The ...

At TDWI's recent Executive Summit, Mark Madsen asked: is there a statistically significant correlation between sales of beer and sales of diapers or has the correlation been misused.

Why Gut Instinct Still Dominates Decision Making (And How to Become Data-Driven) Trust in data remains a key concern for executives, but two-thirds still don't put data first when making decisions ...

AI in 2025: Key Considerations for Technology Leaders Is your organization ready to make the most use of AI in 2025? By Udo Sglavo As the year kicks off, organizations and companies across the globe ...

Why Data Quality Will Rise to the Top of Enterprise Priorities in 2024 Data is the foundation of modern organizations, so be sure you have a sound data strategy. By Rex Ahlstrom January 3, 2024 A lot ...

Using OCR: How Accurate is Your Data? With effective use of confidence scoring, you can use OCR to automate some types of data ingestion. By Greg Council March 5, 2018 All organizations want accurate ...

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 ...

Data Stories: Exploring Horror by the Numbers Building a hypothetical horror film, charting jump scares, and looking back at horror’s history. By Upside Staff What Scares According to Data Science ...