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 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 ...

TDWI’s Best Practices Awards recognize organizations for developing and implementing world-class business intelligence and data warehousing solutions.

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 ...

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

One-size-fits-all management won’t work for unstructured data. Create a cost-effective security and governance program with this advice.

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.

Exploring the transformative power of data-driven decision-making and seven steps to help you implement prescriptive analytics.

Using Machine Learning for Automatic Database Tuning Can ML help database administrators improve the performance of the systems they oversee? We asked Andy Pavlo about his research at Carnegie Mellon ...

The Role of Ontologies within Unified Data Models Before tackling the complexity of disparate data sources, you need to understand how semantic abstraction layers can save you from a world of pain. By ...