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Archive for the ‘Analytics’ Category

Theme 3: Integrating third-party data into predictive analysis This is the third installment of the eight part series on predictive analytics (see part 1, part 2). Perhaps one of the most significant opportunities for organizations using predictive analytics is incorporating new relevant third-party data into their analysis and decision-making process.  Investment in a targeted and [...]

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Earlier this week, I suggested a potential business application of IRS’s internal migration data for a moving and relocation company. Folks at Neilsen Claritas just found a far more interesting correlation which should have driven a lot of business decisions.  They note: Today’s presence of underwater mortgages, or homes with negative equity, seem to be [...]

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One subject that has not received a lot of coverage in the analytics blogging circle is the current administration’s data.gov project. While still in its infancy the data.gov is an outcome of the government’s transparency initiative called Open Government Directive. In December, all government agencies were asked to produce and publish three new ‘high value’ [...]

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Predictive Analytics fundamentals

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I, along with two of my colleagues (Anand Rao & Dick Findlay), recently conducted a workshop at the World Research Group’s Predictive Modeling conference at Orlando. As part of the workshop, I spoke about a list of 8 things that organizations should keep in mind as they consider investing in predictive analytics. In this post, [...]

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I believe that the next wave of productivity improvement in companies is going to come from investment in decision support tools. In our economy almost all workers are now knowledge workers. However unlike the workers of the industrial era, we still do not have the right set of tools to support our knowledge workers. We [...]

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