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
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?
- By Fern Halper
- June 13, 2016
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.
- By Fern Halper
- May 31, 2016
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.
- By Fern Halper
- May 16, 2016
IBM believes that analytics can be everywhere. We offer Upside's first impressions from a business briefing.
- By Fern Halper
- April 20, 2016
Rulex provides a new generation of advanced analytics tools. We offer Upside's first impressions from a business briefing.
- By Fern Halper
- April 18, 2016
Collaboration, validation, education, and organization can help your organization democratize advanced analytics.
- By Fern Halper
- March 22, 2016
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
- By Fern Halper
- February 26, 2016
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?
- By Fern Halper
- February 4, 2016