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.


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


  • 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

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Technical Case Study