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


5 Skills You Need to Build Predictive Analytics Models

These five competencies are required to build a successful predictive model.

3 Flavors of Predictive Analytics Automation

Simplifying tasks is a key benefit of automation, and in the world of predictive analytics, these three areas are getting the most automated help.

Upside Briefing: SAS

Reflections on the recent SAS analyst meeting and two-day overview of where SAS is headed by TDWI's VP and senior research director for advanced analytics.

TDWI 2016 Salary Survey: Gender Pay Gap Remains

According to TDWI research, the gender gap in BI-related fields widened in 2016. There are many reasons why women are earning less than men in these jobs.

Three Paths to Value in Data Science

Organizations are using many strategies to gain bottom-line value from big data and data science. Three major trends stood out in TDWI's recent research.

Advanced Analytics: A Look Back at 2016 and What's Ahead for 2017

Greater interest (and deployment of) AI, advanced analytics, and open source are among the trends you'll be seeing in 2017.

7 Vendors at Strata/Hadoop World 2016: First Impressions

Fern Halper, vice president and senior director of TDWI research for advanced analytics, offers her perspective on announcements from seven vendors.

Six Data and Analytics Trends Heard at Strata Hadoop World 2016

Details of six popular analytics trends discussed at Strata Hadoop World that employ advanced analytics and/or make data consumable.

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