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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 Approachand Business Intelligence: The Savvy Manager's Guide. He is a frequent speaker on maximizing the value of information. David can be reached at loshin@knowledge-integrity.com 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!

As a by-product of some of our current activities in data governance, I was interested in looking at ways that people model performance metrics. Interestingly, half an hour's worth of web searching turned up surprisingly few artifacts that describe ways to model a performance metric. Perhaps my search term vocabulary is artificially limited to the phrases I believe should provide some hits, since I am confident that every BI tool vendor has embedded models for performance metrics.

However, the failed search exercise has triggered the dreaded next step: having to think about it myself. My first thoughts revolve around "metric basics":

- who are the stakeholders,
- what are the performance objectives,
- what is being measured,
- what are the units of measure,
- how is the measurement performed,
- how often is the measurement done,
- is the measurement process automated or manual,
- how is the result reported,
- how are individual measurements rolled up into more comprehensive scores,
- what are the benchmark values,
- what are the critical thresholds,
- who is notified of a low score,
- how are issues forwarded into the issues tracking system.

Any other suggestions?

Posted July 31, 2007 7:23 AM
Permalink | 1 Comment |

1 Comment

David - This is THE question for people working the information pipeline. I think it all gets back to remembering what we're trying to do, which is create a digital representation of the physical business system so that we can act upon the physical system in a way that creates better outcomes.

As Claudia Imhoff always says, deciding what to calculate or store or report on HAS to begin with the question "Why?" -- asked over and over again.

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