While text analytics is considered a “must have” technology by the majority of companies that use it, challenges abound. So I’ve learned from the many companies I’ve talked to as I prepare Hurwitz & Associates’ Victory Index for Text Analytics,a tool that assesses not just the technical capability of the technology but its ability to provide tangible value to the business (look for the results of the Victory Index in about a month). Here are the top five: http://bit.ly/Tuk8DB. Interestingly, most of them have nothing to do with the technology itself.
Five Challenges for Text Analytics
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Fern Halper is VP of TDWI Research for advanced analytics, focusing on predictive analytics, IoT, 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 “for Dummies” books on cloud computing, hybrid cloud, and Big Data for Dummies. 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. You can reach her at fbhalper@hotmail.com. My opinions are my own. View all posts by fbhalper
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