Manufacturing Data – what are the best ways to get it, structure it, search it, access it, and derive value from it?
When it comes to developing processes, validating them, accelerating them, or assuring quality control, the advancement of manufacturing technology has been and always will be grounded in data. Today, Industry 4.0 technologies can give you much more data – with much better accuracy – than ever before.
But are you sure you are measuring the right things? Do you know know what to do with the data you collect?
Data alone cannot tell the full story; collective industry know-how and experience also play a critical role in manufacturing productivity. EWI specializes in bringing these forces together through the pragmatic application of data science and process expertise to solve manufacturing challenges.
EWI leverages its internal process expertise to help companies:
- Select the data to collect for the best predictive performance
- Extract expert identified features from datasets
- Design experiments to create balanced, production relevant datasets
- Data modeling/structuring so that collected data is findable, accessible, interoperable, and re-usable
- Model guided (semi-analytic) machined learning
It’s not just about big data, it’s about getting the right data and knowing what to do with it. EWI does not simply apply a black box algorithm – it helps clients develop clear, causal models with uncertainty quantification.
Why Choose EWI
EWI has been using data- and science-driven approaches for manufacturing innovation for over 35 years. We have the expertise to know what data will be most valuable for your operation and how to apply it correctly when you get it. EWI’s data scientists are manufacturing data specialists. You will likely find them on the floor working on a manufacturing process in collaboration with a manufacturing process expert. We are ready to help you understand the manufacturing need to collect and apply your data as well as the processes that will be positively impacted.