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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 (, on Twitter (, and on LinkedIn (


All articles by Fern Halper

Two Tips for Citizen Data Scientists

Have analytics tools made it too easy for business users to think they can perform the role of a data scientist without the rigorous training needed to do the job right?

Upside Briefing: FICO

Decision management provides a way for organizations to clarify how their decisions are made and structured. We offer Upside's first impression of FICO's decision management tools.

Upside Briefing: Dell Statistica

Dell recently released Statistica 13.1. We offer Upside's first impressions from a business briefing and a look at the idea of a citizen data scientist.

Upside Briefing: IBM Advanced Analytics

IBM believes that analytics can be everywhere. We offer Upside's first impressions from a business briefing.

Upside Briefing: Rulex Analytics

Rulex provides a new generation of advanced analytics tools. We offer Upside's first impressions from a business briefing.

Overcoming the Data Scientist Shortage: Democratizing Predictive Analytics

Collaboration, validation, education, and organization can help your organization democratize advanced analytics.

12 Real-World Solutions for IoT Analytics

Our interviews with a dozen vendors that have a strategic focus on the Internet of Things and the analytics products to support it reveal that IoT analytics is more than a passing fad or the latest buzzword

Embedding and Operationalizing Analytics for Action: Three Important Takeaways

Close to 50 percent of TDWI survey respondents said they embedded models or algorithms into business processes in some way. What can we learn from these respondents?

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