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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.
A veteran industry consultant and mentor discusses how to tell when your predictive analytics team is ready for a data scientist.
Data virtualization enables you to get all the value out of your graph database. Here's how.
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