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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


Does Gender Matter in BI Salaries?

Results from TDWI's newest Salary Survey show continued wage disparity by gender.

Overcoming Challenges in Advanced Analytics

How organizations are improving skills, expanding their technical knowledge, and gaining executive support for next-generation analytics.

Telling a Story with Analysis: 3 Visualization Tips for Presenters

These three best practices will help you deliver visualizations that complement your analysis and make the greatest impression on your audience.

Who Should be Building Predictive Models?

With statistical and data mining skills in short supply, are the right people building your models? These three safeguards can help you avoid model-building problems.

Three Ways to Gain Value from Analytics

Are you getting the most from analytics? Here are three things you can do to maximize its benefits.

Embedding Advanced Analytics

To get the most value and greatest insight from your analytics, embed your analytics into your business processes.

Big Data: Two Steps in the Right Direction

Where are companies making progress in their big data and analytics work?

Four More Advances in Predictive Analytics

The technology and the practices around predictive analytics are also evolving. Here are four ways predictive analytics is changing.

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