TDWI Upside - Where Data Means Business

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


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.

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.

TDWI Membership

Accelerate Your Projects,
and Your Career

TDWI Members have access to exclusive research reports, publications, communities and training.

Individual, Student, & Team memberships available.