Case Study: Aluminerie Alouette achieves deeper process insight and predictive production models with Statistica (STATISTICA Data Miner & MSPC)

Aluminerie Alouette - Customer Case Study

Aluminerie Alouette, a leading primary aluminum smelter in Sept-Îles, Canada with over 1,000 employees and annual capacity above 600,000 tons, needed deeper insight into its production processes to stay among the world leaders in efficiency and environmental performance. With several hundred potential input variables (some controllable, some not), the company sought tools to identify which inputs truly drive key performance indicators and to develop multivariate models for better process monitoring and improvement.

Alouette augmented its existing STATISTICA Enterprise setup with STATISTICA Data Miner and MSPC to perform predictor analyses and build automated neural-network models. The solution ranked influential variables, enabled medium‑term production forecasts and “what‑if” scenario exploration, and helped pinpoint root causes of process issues—validating the modules met the company’s requirements while highlighting the need for user training and domain expertise to maximize results.

Aluminerie Alouette