A few weeks ago, I started an analytics engagement with a manufacturing company. Their interest was in developing dashboards that would show the results of product reliability models both individually and by various groupings.
OpenBI loves working at the intersection of BI and analytics, so dashboards of “Weibull” coefficients are right up our alley. Another plus for me was that the types of reliability analyses they do is similar to the survival models used in the medical and clinical trials data worlds with which I'm familiar. A complicating difference between survival and regular regression is that with the former, many observations are censored or suspended, meaning they have not at the time of measurement died or failed.
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