Case Study

Cooperative Sugar Production Company

Learn how this company leveraged dataPARC to unify process and lab data, preserve decades of operational knowledge, and gain visibility across all sites, improving analysis, accelerating decision-making, and building a stronger foundation for the next generation of engineers.

Company’s Story

Faced with the growing need to improve collaboration across multiple sites and preserve institutional knowledge, this company began searching for a modern, centralized data solution. They were already using a mix of PI and a homegrown MES with LIMS features, but needed a higher-value system that could integrate and scale. After hearing about dataPARC through a partner in the Sugar industry, they explored the platform further and ultimately chose it to support both local and enterprise-wide goals.

Recommended by an industry partner, dataPARC was introduced as a scalable, high-value solution to unify data, preserve expertise, and improve operations across multiple sites.

Robust Data Integration

Seamlessly connects diverse systems to unify data access and streamline insights.

Lab & Process Data Unification

Bring lab and process data together in one platform for comprehensive analysis.

Knowledge Preservation

Captures and retains valuable process knowledge to support consistent operations.

Company’s Challenges

With four sites operating independently, there was no centralized access to data at the corporate headquarters, limiting visibility and coordination. Correlating lab data with process data was time-consuming and difficult, making it hard to identify trends or take quick action. The organization also lacked a system to retain and grow its operational knowledge as experienced personnel retired. Although the site already had a PI system and a homegrown MES with LIMS capabilities, the team recognized the need for a more powerful, unified platform.

The dataPARC Solution

To support a distributed historian model, the site maintained existing historians at select locations while implementing the dataPARC historian elsewhere. Robust integration ensured seamless data flow across the organization. Lab and process data were unified, giving teams centralized access to information for faster, more effective decision-making. With many experienced employees nearing retirement, dataPARC also became a platform for capturing and preserving institutional knowledge, ensuring operational continuity and process understanding for the next generation.