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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


How to Survive and Thrive as a Woman in Data and Analytics

Three women in the tech and analytics fields offer advice for getting and staying ahead in a male-dominated environment.

Advanced Analytics: A Look Back at 2018 and What’s Ahead for 2019

TDWI analyst Fern Halper explains why 2019 will be the start of a digital transformation journey for many organizations.

3 Use Cases for Unstructured Data

Enterprises ignore unstructured data at their peril. Here are three examples of where unstructured data is used to great advantage.

The Gender Pay Gap Remains

TDWI's 2017 salary survey reveals that little has changed in the wage disparity between men and women in BI.

Three Organizational Best Practices for Becoming Data-Driven

If people in your enterprise don't buy into data-driven techniques, try these three organizational best practices to make individual change more successful.

3 Best Practices for Becoming More Self-Sufficient with Self-Service

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.

Advanced Analytics: A Look Back at 2017 and What's Ahead for 2018

Next year will be the year of the three A's: AI, automation, and advancing analytics skills.

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.

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