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TDWI Upside - Where Data Means Business

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


Intelligent Data and Analytics Software: The Latest from Five Vendors

A quick look at how five vendors have embedded machine learning, NLP, or other advanced analytics technologies into their platforms.

4 Tips for Promoting Predictive Analytics in Your Organization

How can you encourage adoption of predictive analytics without executive support?

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.

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