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
To get the most value and greatest insight from your analytics, embed your analytics into your business processes.
- By Fern Halper, Ph.D.
- July 1, 2014
Where are companies making progress in their big data and analytics work?
- By Fern Halper, Ph.D.
- April 22, 2014
The technology and the practices around predictive analytics are also evolving. Here are four ways predictive analytics is changing.
- By Fern Halper, Ph.D.
- March 4, 2014
Many companies, large and small alike, are already using some kind of hybrid approach to cloud BI -- even if they don't think they are.
- By Fern Halper, Ph.D.
- December 10, 2013
How deploying a multiplier effect model can help spread analytics throughout your organization.
- By Fern Halper, Ph.D.
- August 6, 2013
Governance is often put on the back burner when organizations move into new technologies because it's becoming more complex. Learn the two biggest ways governance complexity may be affecting your enterprise.
- By Fern Halper, Ph.D.
- June 4, 2013
We explore several fundamental changes driven by big data analytics.
- By Fern Halper, Ph.D.
- April 30, 2013
Before you jump into a big data project, be sure to think about these three big data issues related to data integrity, data quality, and the nuances of analysis.
- By Fern Halper, Ph.D.
- March 5, 2013