What Can You Do With Data?
A Question & Answer Period with Fred Schenkelberg and James Kovacevic on the what can be done with your data and analysis.
Data and the analyses that use the data can be tricky to manage at best, let along extremely difficult. In this last post of the series on using the maintenance data you have, Fred and James will answer many of the common questions asked about data and the analyses.
How does one build a proper asset hierarchy? A hierarchy should be built to the recommendations in ISO 14224. This will ensure all […]
Nothing keeps a statistician happy like a pile of data. As seen in the previous articles, you can easily use the data you already have to conduct meaningful analysis. This includes 
A few years into your reliability journey, you start to struggle to make the improvements you were able to when you first started. Why is this? You were able to systematically eliminate all of the low hanging fruit using the existing data in your CMMS. But now you have to dig deeper to realize the improvements and that requires better data.
Your facility has data and maybe too much data. Using simple plotting may be the key to unlocking how well your maintenance program is performing.
Imagine being able to predict the next time a failure will occur for a piece of equipment without a huge amount of work. Wouldn’t it be nice to know the approximate point in time that a failure will occur on a critical piece of equipment? It is possible, but I am not talking about using MTBF, as it is not a good measure (if you need to understand why, please visit