Aluminum maker crunches big data for top performance

With the expanded knowledge of production dynamics that Statistica provides, we have improved total aluminum production while reducing the time spent analyzing key performance indicators.

Process Control Engineer at a large aluminum manufacturing company

Business need:

A large aluminum manufacturer needed a way to more precisely monitor complex process data to ultimately increase production yields.

Solution: 

The company deployed the predictive analytics platform, Statistica, to identify and mitigate key factors affecting production quality as well as reduce energy consumption and improve employee productivity.

Benefits:

• Reduced time spent analyzing key performance indicator data by 25 percent
• Increased overall aluminum yield
• Increased visibility into production process variables
• Reduced energy consumption and greenhouse gas emissions during smelting process

Read Case Study

Related Products

Statistica
Statistica

Predict the future, optimize processes, reduce costs and increase revenue