What's ahead for your data? How can you keep up with the challenges of an ever-changing landscape?
- By James E. Powell
- February 26, 2018
Have you already optimized your BI program but still aren’t getting the user engagement you’re looking for? Applying machine learning in five key areas can improve the performance of your BI program.
- By Troy Hiltbrand
- February 23, 2018
These graphics allow you to see how some statistics differ across population groups, how much taller people have become over time, and how behavior and health are statistically related.
- By Lindsay Stares
- February 21, 2018
Advances in new smartphone chips, skepticism about the power of predictive analytics, and detecting dating scams with machine learning.
- By Lindsay Stares
- February 20, 2018
If people in your enterprise don't buy into data-driven techniques, try these three organizational best practices to make individual change more successful.
- By Fern Halper
- February 16, 2018
These visualizations track a film’s length versus its quality, consider trends in scriptwriting, and explain the use of deep learning in animating dialogue.
- By Lindsay Stares
- February 14, 2018
A comprehensive, flexible data strategy is the key to taking on every challenge. Are you having the right conversations about your data?
Data is not the same as business value. You must add the human element and build a real data culture to create usable business strategy.
- By Romi Mahajan
- February 13, 2018