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
Data virtualization enables you to get all the value out of your graph database. Here's how.
Two articles help you protect your precious data assets.
A veteran industry consultant and mentor suggests building your predictive analytics team first, then bringing in a data scientist.
- By Linda L. Briggs
- August 11, 2015
Although advances in technology have dramatically improved our ability to analyze and mine vast amounts of data, we must remember that the quality of our predictions is directly dependent on the quality of our data.
- By Mike Schiff
- August 11, 2015