Case Study: Mativ opens a new product line and eliminates data silos with dataPARC

A dataPARC Case Study

Preview of the Mativ Case Study

Mativ cuts reporting lag from days to hours with dataPARC

Mativ faced challenges with data analysis due to its dependency on Excel, which created data silos and prevented real-time insights. This resulted in reporting that lagged by days and a lack of a systematic method for tracking loss-time reasons across its operations. They turned to dataPARC for a solution.

The dataPARC solution integrated all of Mativ's data sources, eliminating silos and enabling real-time analysis. This reduced reporting lag from days to hours and provided a comprehensive plant-wide view. dataPARC's predictive PLS modeling and soft sensors enabled the opening of a new product line, and its alarm system empowered operators to systematically track and analyze loss reasons.


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