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


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.

3 Use Cases for Hybrid Cloud BI and Analytics

Many companies, large and small alike, are already using some kind of hybrid approach to cloud BI -- even if they don't think they are.

TDWI Introduces Big Data Maturity Model

TDWI's Big Data Maturity Model helps organizations assess their big data readiness and offers best practices for moving along the maturity path. Its co-author, Fern Halper, explains the five major maturity stages.

One Way to Bring Advanced Analytics to the Masses

How deploying a multiplier effect model can help spread analytics throughout your organization.

Governance in a Changing Data World

Governance is often put on the back burner when organizations move into new technologies because it's becoming more complex. Learn the two biggest ways governance complexity may be affecting your enterprise.

What's Really Different about Big Data Analytics?

We explore several fundamental changes driven by big data analytics.

3 Things You Need to Know about Big Data

Before you jump into a big data project, be sure to think about these three big data issues related to data integrity, data quality, and the nuances of analysis.

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