Fern Halper
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I am in the process of gathering survey data for the TDWI Predictive Analytics Best Practices Report. Right now, I’m in the data analysis phase. It turns out (not surprisingly) that one of the biggest barriers to adoption of predictive analytics is understanding how the technology works. Education is definitely needed as more advanced forms
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The term “Big Data” has gained popularity over the past 12-24 months as a) amounts of data available to companies continually increase and b) technologies have emerged to more effectively manage this data. Of course, large volumes of data have been around for a long time. For example, I worked in the telecommunications industry for
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The other day I was looking at the analytics discussion board that I moderate on the Information Management site. I had posted a topic entitled “the value of advanced analytics.” I noticed that the number of views on this topic was at least 3 times as many as on other topics that had been posted
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I just returned from the 6th annual Text Analytics Summit in Boston. It was an enjoyable conference, as usual. Larger players such as SAP and IBM both had booths at the show alongside pure play vendors Clarabridge, Attensity, Lexalytics, and Provalis Research. This was good to see and it underscores the fact that platform players
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There has been a lot of excitement in the market recently around business analytics in general and specifically around predictive analytics. The promise of moving away from the typical rear view mirror approach to a predictive, anticipatory approach is a very compelling value proposition. But, just how can this be done? Predictive models are complex.
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IBM has dominated a good deal of the news in the business analytics world, recently. On Friday, it completed the purchase of SPSS and solidified its position in predictive analytics. This is certainly the biggest leg of a recent three-prong attack on the analytics market that also includes: Purchasing Red Pill. Red Pill is a
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I had an interesting chat with Roman Stanek, CEO of Good Data last week about the debate over data security and reliability in the cloud. For those of you who are not familiar with Good Data, it provides a collaborative business analytics platform as a SaaS offering. The upshot of the discussion was something like
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Visualization can change the way that we look at data and information. If that data contains a geographic/geospatial component then utilizing location information can help provide a new layer of insight for certain kinds of analysis. Location intelligence is the integration and analysis of visual geographic/geospatial information as part of the decision making process. A
Fern Halper's data makes the world go 'round 