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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


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.

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.

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