It’s all in the data
-Ian Walsh, Managing Director, Intent Group I thought I’d follow on from my pre-Christmas article “What gets measured gets managed” with the next step in continuous improvement: data analysis. This can sound ominous but how you design and implement your analytics is critical to success. Before starting to improve performance and productivity you need to identify and understand the losses and wastes associated with your process. For production lines this could be lost time, lost speed, yield losses, giveaways, lost labour, or downtime by key equipment. Ideally, this information should be grouped by cause such as planned downtime (changeovers, meetings), quality losses or rework, or some other cause. A good data system should tell you major losses, and their resulting impact and frequency. And it will be able to slice this information by shift, by day, or by any other time period you need. This data is essential to understand the nature of the loss, establish the source of the loss and then work on the approach to fixing it and futureproofing it and other systems in your workplace. At a simplistic level, this is the role data plays in your work: find, analyse, fix, prevent. It’s worth noting at this point that your data analysis can be done manually and using spreadsheets – in fact this is a position that many businesses starting to dip their toes into the data analytics pool find themselves in, but there are much better tools available now that really ought to be used. The future (and ideally present) of data analysis is in tailored Internet of Things (IoT) software where you can plug your raw data and it tells you, in real-time rather than retroactively, the story that you need to know, for fixing and optimizing processes. Why wait until the end of […]