Aluminum maker crunches big data for top performance

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 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

Download Case Study

Technical Case Study