OCT 19, 2010 10:16am ET

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The Science of Business Manifesto – Part 1

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To my “Bias in BI” article a few weeks back, several commentors responded, questioning the relevance of  the discussion for business intelligence. Though it was clear to me, I realized I hadn't done an adequate job prepping readers for my thoughts on the “science of business” that were behind the writing. I hope in the next two blogs to explain better just what that thinking is.

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Comments (1)
I agree conceptally with the premise, however I am a firm believer that correlations used today in business and IT are two dimensional. For example; in IT when we look at the wealth of metrics we produce, we do not account for the third dimension (the user) when we look for anomolies. In business, the same holds true. We two dimensionally correlate activities without "layering" the third dimension, the market, on the results. Business analytics tends to try to correlate raw data and internally collected elements with restrictions. The may add like industry data as a dimension, but they do not try to add dimensional data, things that may be occuring off their own "island". They need to look for what may be impacting their performance or processes that is occurring off their own "island". To think for example, that buyers of automobiles aren't affected by the shift to tele-working is tunnel vision. Do manufacturers correlate the increase in teleworkers with sales levels of vehicles? Do application planners correlate location shifts of the end-user with performance characteristics of a given application? Net-Net; let's add multidmensional correlations of non-discrete data to our flat correlation charts as you build out your hypothesis statement.
Posted by david n | Wednesday, October 20 2010 at 12:06PM ET
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