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Scott Lee
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Refer to Jim Harris' useful construction of data-interpretant-use ( - he also argues for reasonable fluidity in definition. Where I think it makes sense more to hold the line on singleness is in the definition and governance of KPIs and business metrics. There is no good reason for a company to measure e.g. "operating margin" or "customer profitability" in multiple conflicting ways. Yes you could argue me some edge cases (differing formulations of customer for instance would make the second metric potentially variable), but I still argue that here is where unity trumps fluidity. Great thinking Chuck, as always.
Jer Thorpe gave a TEDx talk recently about the weight of data. he comes at it from a visualizer's perspective - how to get a different kind of worth from the information. worth a few minutes to check out:
Toggle Commented May 31, 2012 on Does Data Have Gravity? at Chuck's Blog
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May 31, 2012