Contributor: Fern Halper
Fern Halper is director of TDWI Research for advanced analytics, focusing on predictive analytics, social media analysis, text analytics, cloud computing, and other “big data” analytics approaches. She has more than 20 years of experience in data and business analysis, and has published numerous articles on data mining and information technology.
Halper is co-author of “Dummies” books on cloud computing, hybrid cloud, service-oriented architecture, and service management, and big data. She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for AT&T Bell Labs. Her Ph.D. is from Texas A&M University.
All articles by Fern Halper
TDWI's 2017 salary survey reveals that little has changed in the wage disparity between men and women in BI.
- By Fern Halper
- May 15, 2018
If people in your enterprise don't buy into data-driven techniques, try these three organizational best practices to make individual change more successful.
- By Fern Halper
- February 16, 2018
What do you need to support analytics democratization? How can your organization help users become more self-sufficient? Here are three technology-focused best practices that can help.
- By Fern Halper
- January 30, 2018
Next year will be the year of the three A's: AI, automation, and advancing analytics skills.
- By Fern Halper
- December 19, 2017
A quick look at how five vendors have embedded machine learning, NLP, or other advanced analytics technologies into their platforms.
- By Fern Halper
- November 15, 2017
How can you encourage adoption of predictive analytics without executive support?
- By Fern Halper
- September 26, 2017
These five competencies are required to build a successful predictive model.
- By Fern Halper
- June 26, 2017
Simplifying tasks is a key benefit of automation, and in the world of predictive analytics, these three areas are getting the most automated help.
- By Fern Halper
- May 15, 2017