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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


Tackling Bias and Explainability in Automated Machine Learning

Automated machine learning is likely to introduce two critical problems. Fortunately, vendors are introducing tools to tackle both of them.

The Impact of COVID-19 on Data and Analytics Professionals

Results of a new TDWI survey show the impact COVID-19 is having on the work of data and analytics professionals in the U.S.

The Gender Pay Gap That Won't Go Away

TDWI's 2019 salary survey reveals that although there is some good news for women, the wage disparity between men and women in data and analytics remains.

Advanced Analytics: A Look Back at 2019 and What’s Ahead for 2020

Practical concerns will (and should) dominate 2020.

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.

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