The Business Intelligence Journal is an in-depth, unbiased information resource for data management and anlytics professionals. This quarterly publication provides fresh ideas and perspectives to help ...

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, ...

$150 annual training voucher and 10% discount on à la carte conferences, seminars, and online learning courses 24/7 access to TDWI's exclusive online member community where you can collaborate, gain ...

Human-in-the-loop AI combines machine automation with human oversight to improve accuracy, accountability, and trust. This approach is particularly important in high-stakes industries such as ...

For 30+ years, TDWI has been helping data leaders and their teams transform the information and skills they need to build effective AI, BI, and data management programs.

A misdiagnosed patient. A denied mortgage. A fraud alert that locks out a legitimate customer. These aren’t edge cases—they’re recurring failures of systems never meant to make high-stakes decisions ...

For years, TDWI research has tracked the evolution of data warehouse architectures as well as the emergence of the data lake. The two have recently converged to form a new and richer data architecture ...

The "big" in "big data" is a function of the volume, variety, and velocity of the information that constitutes it. If you read a dozen articles on big data, there's a good chance the 3 Vs -- volume, ...

If you're analyzing only structured data, you're missing a wealth of insights. Edward Cui, founder of Graviti, explains how to access the value in phone calls, emails, and even social media posts.

At TDWI's Executive Summit in San Diego, Mark Madsen posed the provocative question: is there a statistically significant correlation between sales of beer and sales of diapers? Madsen, a research ...

Predictive analytics can help companies optimize existing processes, better understand customer behavior, identify unexpected opportunities, and anticipate problems before they happen. Almost all of ...

Enterprises rely on robust data quality management to address challenges and seize strategic and operational advantages in today’s business environment. Data quality management—often known as ...