How to find safe, third-party cloud storage, moving from a data-driven enterprise to a competitive one, and getting the most accurate data to the people who need it.
Effectively using open source, avoiding missteps in your big data project, and how to avoid struggling with data lakes.
How enterprises can engage, retain, and strengthen bonds with their customers.
- By Fern Halper, Ph.D.
- August 25, 2015
Old data can still provide new insights.
Learning the right terminology is important. Two articles draw distinctions: one between data management and data governance, the other between cloud and data virtualization. Finally, five ways your enterprise can use big data to grow your business.
When predictive models add value, why predicting buyer behavior is so tricky, and how to protect the 98 percent of your data hackers can use to get to the most valuable 2 percent.
Data modeling isn't just about getting the right results; it's important to know when your model has "expired." Plus using log data as a security weapon and a look at disaster recovery techniques.
If non-technical people don't grasp why good data management is important, argues Linda Powell, chief data officer with the Consumer Financial Protection Bureau, IT people and data management practitioners have only themselves to blame.
- By Stephen Swoyer
- August 18, 2015
A veteran industry consultant and mentor discusses how to tell when your predictive analytics team is ready for a data scientist.
- By Linda L. Briggs
- August 18, 2015