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.
Interesting articles we found on the Web focus on data mashups, streaming analytics, predictive modeling, and securing Hadoop.
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.