data analysis
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There has been a lot of discussion recently around advanced analytics. I’d like to throw my definition into the rink. I spent many years at Bell Laboratories in the late 1980s and 1990s deploying what I would call advanced analytics. This included utilizing statistical and mathematical models to understand customer behavior, predict retention, or analyze
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Advanced Analytics was a big topic at the IBM IOD conference last week. As part of this, predictive analytics was again an important piece of the story along with other advanced analytics capabilities IBM has developed or is in the process of developing to support optimization. These include Big Insights (for big data), analyzing data
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Advanced analytics is currently a hot topic among businesses, but who is actually using it and why? What are the challenges and benefits to those companies that are using advanced analytics? And, what is keeping some companies from exploring this technology? Hurwitz & Associates would like your help in answering a short (5 min) survey
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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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I just got back from the SAS analyst event that was held in Steamboat Springs, Colorado. It was a great meeting. Here are some of the themes I heard over the few days I was there: SAS is a unique place to work. Consider the following: SAS revenue per employee is somewhat lower than the
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With 2010 now upon us, I wanted to take the opportunity to talk about five advanced analytics technology trends that will take flight this year. Some of these are up in the clouds, some down to earth. Text Analytics: Analyzing unstructured text will continue to be a hot area for companies. Vendors in this space
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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.
Fern Halper's data makes the world go 'round 