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 ...

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 ...

OLAP is a technology that enables multidimensional analysis of data, allowing users to slice, dice, drill down, and pivot across dimensions such as time, geography, or product. It is a traditional BI ...

We have simplified the category structure for our Best Practices Awards based on feedback from prior years. The new Data Management category focuses on management of information resources; the ...

Report explores the capabilities that distinguish enterprises that are successful with generative and agentic AI.

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, ...

Global CEOs are making generative AI a top investment priority, and enterprise technology leaders are feeling the pressure to implement a unified data strategy and better data management to support ...

Findings from the Annual Data and Analytics Global Executive Study Seeing value from analytics and emerging technologies such as AI begins with trust in the data. That trust relies on how data is ...

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 ...

"Establishing poor goals" and "measures that drive the wrong behavior" are just two of the top 10 measurement and planning mistakes detailed by Mark Graham Brown in this white paper. Brown also offers ...

Exploratory Data Analysis (EDA) is the process of examining and visualizing data sets to uncover patterns, relationships, anomalies, and initial insights before applying formal statistical modeling or ...