Case Study

Mineral Processing Facility

Learn how this mineral processing facility replaced PI Vision with a modern, scalable platform, reducing long-term costs, preserving valuable display assets, and unlocking deeper operational insights through advanced analytics.

Company’s Story

The company was at a crossroads with its existing data infrastructure, facing mounting limitations from legacy tools and an urgent need for a more capable and sustainable solution. Leadership recognized that improving data accessibility, visualization, and analysis was key to operational efficiency. Their search for a better system led them to a modern solution that aligned with both current needs and future goals, ushering in a new era of smarter manufacturing.

The site moved to dataPARC from PI Vision, reducing cost by more than 16% over five years.

Cost-Effective PI Replacement

Eliminating per-user fees, dataPARC pricing is based on tag count, not user access. It’s your data, you should have access to it.

Future-Ready Analytics Platform

Built to support advanced analytics, machine learning, and modern visualization needs as operations evolve.

Transparent Total Cost of Ownership

No hidden fees or complex licensing, transparent, predictable pricing that scales with your data.

Company’s Challenges

The company was stuck between two options: ProcessBook, which had been officially discontinued, and PI Vision, which proved too costly and limited to fully implement. They needed a flexible, sustainable system that supported daily operations and long-term goals.

The dataPARC Solution

To replace PI Vision, the company implemented dataPARC and achieved more than 16% cost reduction over five years, while gaining access to a more powerful and user-friendly platform. They seamlessly transitioned existing PI ProcessBook displays into dataPARC, preserving continuity without having to rebuild from scratch. With a clear and transparent licensing model, dataPARC eliminated the financial unpredictability that previously stalled adoption. The advanced capabilities of modeling and the broader platform gave users the tools to move beyond basic visualization, unlocking a future-ready, scalable analytics environment aligned with long-term goals.