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 ...

Fern Halper, Ph.D., vice president and senior research director for advanced analytics with TDWI, joins host Andrew Miller to discuss what's ahead for data and analytics in 2026 - including agentic AI ...

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 ...

What is TDWI and who is it for? TDWI (Transforming Data With Intelligence), founded in 1995, is a leading source of education and research for data and analytics professionals working across ...

Data storytelling is the practice of building a narrative around a set of data and its accompanying visualizations to help convey the meaning of that data in a powerful and compelling fashion.

I recently spoke in a webinar run by Informatica Corporation, sharing the stage with Informatica’s Scott Hedrick and Ron van Bruchem, a business architect at Rabobank. We three had an interactive ...

Earlier this week, I spoke in a webinar run by Informatica Corporation and moderated by Informatica’s Roger Nolan. I talked about trends in user practices and vendor tools that are leading us toward ...

I was recently on a group call along with several other analysts where IBMers spelled out their definition of big data. They structured the definition by explaining big data’s primary attributes, ...

AI is revolutionizing the world of BI and analytics—making insights faster, smarter, and more accessible. As organizations embrace AI-assisted analytics, the lines between BI, AI, and self-service ...

Big data analytics is where advanced analytic techniques operate on big data sets—one of the most profound trends in business intelligence today. Using advanced analytics, businesses can study big ...

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 ...