Hiring a data scientist doesn't mean your work is done. Building a center of excellence and ensuring good relations with IT are both valuable steps toward a successful analytics program.
- By Shawn Rogers
- September 12, 2016
Jill Dyché's description of the technological backwardness of a cash- and resource-strapped animal shelter has salience for the average business organization.
- By Steve Swoyer
- September 9, 2016
Today learn about the benefits of decentralized data management and edge analytics, the ways cloud computing is changing the world, and the pros and cons of moving your operations to the cloud.
- By Quint Turner
- September 9, 2016
These three ideas for leveraging data can help healthcare companies face an uphill battle with the high costs of handling overwhelming data volumes.
- By Jake Dolezal
- September 9, 2016
Start with business strategy when working with big data, don’t believe these myths about big data backup and recovery, and harness the value in small business data by paying attention to your data system structure.
- By Quint Turner
- September 8, 2016
Traditional BI tools might be on their way out, because embedded analytics turns BI from a reactive activity into a proactive one.
- By Wayne Eckerson
- September 8, 2016
Self-service BI is helping enterprises spread analytics among more users, but it's not without its problems.
- By Steve Swoyer
- September 8, 2016
Visualizations can help us understand numbers or trends that are incredibly large. Visit today’s links and explore the biggest pictures of money, population, and time.
- By Lindsay Stares
- September 7, 2016