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 Seth Grimes
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Profile of Seth Grimes

News & Commentary Posts: 213
Seth Grimes is an analytics strategy consultant with Alta Plana and organizes the Sentiment Analysis Symposium. Follow him on Twitter at @sethgrimes
Articles by Seth Grimes
posted in April 2008

Finding Design Failure with Microsoft Office Search Commands

4/29/2008
Cheers to Microsoft Labs for their release of Search Commands, an Office 2007 add-in that "helps you find commands, options, wizards, and galleries in... Word, Excel, and PowerPoint." The embedded Guided Help calls it "a useful complement to the usual method of browsing for commands by clicking tabs on the Ribbon." But with Search Commands, Microsoft has adapted a findability fix that's quite common on the Web: Search as a crutch. Search Commands reinforces a point I've made in the past, that

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Text Technologies in the Mainstream

4/24/2008
Adoption of text analytics has accelerated in the years I've followed the topic, with growth in expected and unexpected directions both. It wasn't hard to foresee extension of data mining workbenches to text, but I had thought BI vendors would be much quicker to build "unstructured information" into their stacks. And I didn't anticipate the nature of the solutions that would be responsible for the greatest market growth...

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BI Software Is a Commodity Technology

4/22/2008
BI Scorecard author and IE blogger Cindi Howson writes that she "gasped" on hearing Jim Davis of SAS talk about the commoditization of BI. Yet I'm with Davis — BI software is a commodity — the technology, that is, and not BI as a whole. That "as a whole" includes extensions wrapped around the commoditized technology core, extensions that build-out common-place core BI into solutions, extensions that adapt the technology — that package it in suite or application or embedded fo

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Prediction Markets and Unpredictable Decision Making

4/11/2008
Prediction markets are mathematically based but human powered, a tool for turning collective human insights into forecasts. The approach enables individuals to bet on ideas or events. The New York Times reports that "companies use prediction markets to funnel ideas from the work force." It's the kind of article that everyone interested in decision sciences should read, and then follow-up on to understand not only the mechanics of the techniques but also their limitations.

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