Minitab Engage: Use-Cases, Insights and Reviews | 2026 Cuspera

Minitab helped a leading solar technology company in Shanghai fix a big problem in their manufacturing. The team used Minitab Statistical Software and Minitab Engage to find out why their silicon nit...ride film thickness was inconsistent. They found that cleaning the butterfly valve twice a day and setting the right furnace temperatures made a big difference. This improved the energy efficiency of their solar panels by 7%. The company now makes over $100,000 more each year from these changes.
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Minitab Statistical Software helped Via Christi Health analyze process changes in their emergency department. The team used control charts, histograms, and boxplots to compare patient throughput time...s before and after changes. Data showed some areas had slight improvements, while others saw increased times, with no statistically significant difference overall. The analysis led to new recommendations, like adjusting cleaning staff shifts to match patient peaks. Via Christi improved process efficiency and patient care using data-driven insights.
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Minitab Statistical Software helped DuPont Building Innovations reach zero landfill waste in three years. The team eliminated 81 million pounds of landfill waste across 15 global sites. They used Min...itab for data analysis, regression, and process improvement. The project generated $2.2 million in byproduct sales and saved $400,000 in costs. No capital expenditure was needed to achieve these sustainability goals.
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Minitab Engage helped Maxion Wheels boost annual cost savings by 19%. Before, they used spreadsheets for project tracking, which slowed decisions and caused errors. With Minitab Engage, they standard...ized project management and gained real-time visibility. Now, they manage 1,600 projects with 1,500 users. Their yearly cost savings rate rose from 6.8% to over 19%, and ongoing savings are 8.1% per year.
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Minitab Statistical Software and Minitab Engage helped a leading global solar energy provider fix thin film thickness issues in manufacturing. The team used statistical analysis to find the root caus...es and set ideal process parameters. They improved solar panel energy efficiency by 7%, from 81% to 88%. This change increased annual revenue by 650,000 RMB (about $101,400). The process became more stable and met strict internal standards.
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Minitab Statistical Software helped Takeda improve drug production. Takeda wanted to boost cell culture output for three recombinant therapies. The team used machine learning models, including partia...l least squares regression and CART decision trees, to find key process parameters. Scientists and engineers learned to use Minitab for data analysis. More staff now understand and use these models, speeding up insights and process improvements.
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