Case Study

Global Paper and Forest Products Company

Learn how this global paper and forest products company replaced an aging PI system with dataPARC to gain predictive modeling capabilities, reduce quality losses, and streamline manual reporting.

Company’s Story

With limited technical support from AVEVA as ProcessBook reached end-of-life, this global paper and forest products company saw dataPARC as better-supported and future-ready. The platform offered a clear path to unify multiple systems across the mill while introducing advanced analytics through PARCmodel—capabilities that were lacking in the existing PI setup.

“With little technical support from AVEVA as ProcessBook was reaching end-of-life, the mill saw dataPARC as better-supported and future-ready.”

Reducing Quality Losses Through Prediction

Predictive models help identify root causes of quality issues earlier, reducing losses and improving consistency.

Streamlining Reporting and Traceability

Manual data entry tools enhance traceability and free up time for higher-value tasks.

Stronger Integration & Predictive Capability

A clear path to unify multiple systems while adding advanced analytics.

Company’s Challenges

The mill’s existing PI system was reaching end-of-life with limited support from AVEVA. They needed a platform that could unify multiple data systems, introduce predictive analytics to address quality issues, and reduce the burden of manual reporting.

The dataPARC Solution

dataPARC provided a future-ready platform with strong support and a clear path to system unification. With PARCmodel in place, the mill developed predictive models to identify root causes of quality issues earlier—reducing losses and improving product consistency. Manual reporting has been significantly reduced thanks to dataPARC’s manual data entry tools, which enhance traceability and free up time for higher-value tasks.