Metrics have always been an important part of information technology. Unfortunately for the most part, metrics are an after thought of the project itself. The natural progression of a system that moves from innovation, incubation and migration (or the SDLC of choice) is to eventually measure the impact and value-add to the business. What is it about metrics they we love and love to hate? Metrics tend to create absolutes by where performance is defined by numerical standards which are not easily manipulated. Of course, there are more things than strict numerical analysis that define success, but organizations better be sure the implementation includes a solid collection of metrics.

Many metrics are simply irrelevant to the meta data work being done or don't have a direct impact on the long-term success of the program. Information gets gathered, but no action is taken as a result. Take a look at the performance metrics in the repository and ask yourself, "When was the last time we took an action, based on this number?"

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