EAM & CMMS Systems, 10 times more data in the system or 10 time less done with the data available?


The road to success in using information systems is a difficult one to navigate. When an implementation of a system is started some assumptions are made about what is needed from the system, how it will help with decision-making, how it will help with execution  of maintenance activities and many other factors. The maintenance environment is a complex environment to begin with, then on top of that it is an environment that is constantly presenting itself with new challenges and changing operational conditions. The markets change as well as many other external factors, the knowledge is leaving from the manufacturing environment because of aging workforce as well as more competition for the remaining workforce with knowledge and experience and the list could go on and on.

At the core of information systems is the gathering of data, it needs to be reliable data so that the decisions from that data are based on solid foundation. Without reliable data the decisions made can not be reliable. The way data is collected is extremely important, wherever there is manual input you are introducing an element of risk for mistakes being made. Wherever the data is collected automatically there is an element of failure or calibration error introduced in the collection process. There are also many other factors that are necessary to remain vigilant about.

To answer the question headed in the Blog, today we have the capabilities to store extreme amounts of data in our systems and databases. So too much data is probably not an issue in most cases. Navigating through that data can be challenging but the most important thing about the data should be that it needs to be reliable and accurate! If there is too little done with the data, probably in most cases it is possible to improve how the data is being used. In helping with good quality decision-making it takes time and a lot of thoughts to develop, it is an investment that can be quick to return a profit.

I hope that you have enjoyed the read and if you have any comments or questions please don’t be shy to post them below or contact me directly. Thank you for reading and hopefully sharing.