Contributor: Fern Halper
Fern Halper, Ph.D., is vice president and senior director of TDWI Research for advanced analytics. She is well known in the analytics community, having been published hundreds of times on data mining and information technology over the past 20 years. Halper is also co-author of several Dummies books on cloud computing and big data. She focuses on advanced analytics, including predictive analytics, text and social media analysis, machine-learning, AI, cognitive computing and big data analytics approaches. She has been a partner at industry analyst firm Hurwitz & Associates and a lead data analyst for Bell Labs. Her Ph.D. is from Texas A&M University. You can reach her by email (fhalper@tdwi.org), on Twitter (twitter.com/fhalper), and on LinkedIn (linkedin.com/in/fbhalper).
All articles by Fern Halper
Three women in the tech and analytics fields offer advice for getting and staying ahead in a male-dominated environment.
- By Fern Halper
- April 8, 2019
TDWI analyst Fern Halper explains why 2019 will be the start of a digital transformation journey for many organizations.
- By Fern Halper
- December 19, 2018
Enterprises ignore unstructured data at their peril. Here are three examples of where unstructured data is used to great advantage.
- By Fern Halper
- September 25, 2018
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