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David Loshin

Welcome to my BeyeNETWORK Blog. This is going to be the place for us to exchange thoughts, ideas and opinions on all aspects of the information quality and data integration world. I intend this to be a forum for discussing changes in the industry, as well as how external forces influence the way we treat our information asset. The value of the blog will be greatly enhanced by your participation! I intend to introduce controversial topics here, and I fully expect that reader input will "spice it up." Here we will share ideas, vendor and client updates, problems, questions and, most importantly, your reactions. So keep coming back each week to see what is new on our Blog!

About the author >

David is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. Loshin is the author of The Practitioner's Guide to Data Quality Improvement, Master Data Management, Enterprise Knowledge Management: The Data Quality Approach and Business Intelligence: The Savvy Manager's Guide. He is a frequent speaker on maximizing the value of information. David can be reached at or at (301) 754-6350.

Editor's Note: More articles and resources are available in David's BeyeNETWORK Expert Channel. Be sure to visit today!

Quick thought experiment: You are configuring a scorecard to report a rolled-up key performance indicator, or KPI. This scorecard starts out with a KPI that is based on a single measured metric, and you have a process in place to measure that metric, apply some weights to the raw score, and then present that score, which is then presented in relation to previously reported scores for the same KPI.

As time progresses, the managers decide that the KPI can be improved by integrating a second measurement and weighted raw score. This is implemented, but here is the issue: the new representation of the KPI is a different indicator with the additional measurement than it was prior to the integration of that measurement. So can the score associated with this new incarnation of the (same old) KPI be compared with the previously reported scores?

There are two sides to this question. On the one hand, if the KPI being reported is different than the one that had been reported earlier, then a comparison is unreasonable since they are effectively measuring two different things. On the other hand, one might anticipate that the weightings associated with the old raw score and the new raw score would be adjusted to scale in line with the previous set of scores.

So let's throw this out to the general readership: how do you suggest presenting the historical view of this KPI whose underlying measures are adjusted over time?

Posted January 5, 2009 9:59 AM
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