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

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?

Operationalizing and Embedding Analytics: 3 Best Practices for Taking Action

What good is analyzing data if you don't take action on it?

The Changing Face of Geospatial Analytics

Why geospatial and IoT are an important part of big data's evolution.

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