text mining

  • How mature is your advanced analytics program?

    Advanced analytics is being deployed in a range of use cases across business units and industries, especially as data types and volume increase. One of the top use cases for advanced analytics we see at TDWI is predictive analytics to understand customer or operational behavior. Statistical as well as machine learning models are used to

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  • I just listened to an interesting IBM Google hangout about big data called Visions of Big Data’s future.  You can watch  it here.  There were some great experts on the line including James Kobelius (IBM), Thomas Deutsch (IBM), and Ed Dumbill (Silicon Valley Data Science). The moderator, David Pittman, asked a fantastic question, “What’s taking

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  • Last week I had the unfortunate experience of trying to deal with American Airlines regarding some travel arrangements via its Advantage help desk.  I literally spent hours on the phone trying to get to the right person.  I won’t bore you with the details of my experience, however I did want to talk about how

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  • 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

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  • I just started writing a blog for AllAnalytics, focusing on advanced analytics.  My first posting outlines five use cases for text analytics.  These include voice of the customer, fraud, warranty analysis, lead generation, and customer service routing.  Check it out.  Of course there are many more use cases for text analytics.  On the horizontal solutions

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  • Today, SAP and NetBase announced that SAP will resell NetBase solutions as the SAP® Social Media Analytics application by NetBase. What does this mean?  According to the announcement: “SAP Social Media Analytics is a cloud-based solution that is able to process more than 95 million social media posts per day. It uses an advanced natural

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  • I am often asked whether it is the vendors or the end users who are driving the Big Data market. I usually reply that both are. There are early adopters of any technology that push the vendors to evolve their own products and services. The vendors then show other companies what can be done with

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  • This is the first in a series of blogs about text analytics and content management. This one uses an interview format. I recently had an interesting conversation with Daniel Mayer, from TEMIS regarding his new paper, the Networked Content Manifesto. I just finished reading it and found it to be insightful in terms of what

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  • In 2007, Hurwitz & Associates fielded one of the first market studies on text analytics. At that time, text analytics was considered to be more of a natural extension to a business intelligence system than a content management system. However, in that study, we asked respondents who were planning to use the software, whether they

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  • Hurwitz & Associates conducted an online survey on advanced analytics in January 2011. Over 160 companies across a range of industries and company size participated in the survey. The goal of the survey was to understand how companies are using advanced analytics today and what their plans are for the future. Specific topics included: –

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