“Data! Data! Data!.. I can’t make bricks without clay.”, Sherlock Holmes.
By helping you improve the data collection of systems and devices throughout your various processes, we can build a digital picture of all your moving parts.
Once collated [and in real time where needed] we can apply analysis of the pinch points and avoidable downtime of machinery and equipment.
The data can be used to provide statistics and forecasting, but also compare with models you may already have. Metadata can also be added to include conditions that can’t be measured digitally, to help form a holistic picture
Recent changes in this field, now allow for Machine Learning to be applied to data to detect patterns (Incl Fourier analysis) which may help with cyclic issues that can then be streamlined.
Once the analysis is reviewed by the CTO, proposals can be made to change processes or input variables to track the impacts. Once a model is sound, automation can be used to create a self-governing closed system.