The Future is Now: Improving the Supply Chain with Predictive Analytics
See how predictive analytics can be used in the supply chain to optimize inventory, route planning, risk management, customer satisfaction and more.
Optimize Energy Consumption and Yield in Energy-Intensive Industries With Statistical Methods
See how statistical methods like DOE can help energy-intensive industries optimize energy use and yield while reducing costs and environmental impact.
2 Cost-Effective Methods to Improve Customer Satisfaction & Net Promoter Score
A data-driven approach to customer experience garners insights & boosts customer satisfaction. Here are 2 cost-effective tools that will make customers happy.
Boost Confidence in R&D Decision-Making With Monte Carlo Simulation
Improve decision-making for your R&D team with Monte Carlo Simulation. See how this powerful tool can analyze risk, optimize processes, and enhance DOE.
Improve Delivery Times for a More Streamlined Supply Chain
Learn how Minitab's powerful problem-solving tools and predictive analytics solutions can help improve supply chain delivery times.
Win-Win: Expedite Insurance Claims to Improve Profitability and Customer Satisfaction
Discover how Minitab tools like CART, Workspace and Random Forests can help reduce the time it takes for insurance claims.
3 Simple Tools to Manage Your CI & OPEX Programs
Tools help organizations formalize their processes & measure success. Explore how a process map, fishbone diagram, & project charter help with CI and OPEX success.
Elevate Your Data Analysis With Minitab’s Cross-Industry Modules
Improve your data analysis with Minitab. Improve outcomes and reduce errors with our Predictive Analytics, MSA, Sample Size, and Supply Chain modules.
Digital Transformation of Manufacturing: Opportunities, Challenges and Lessons Learned
Greg Kinsey discusses the digital transformation of manufacturing and shares the opportunities, challenges and lessons learned.
Read the Room: The Increasing Importance of Data Literacy
With the increasing amount of data being generated and collected, understanding what data is and how to use it has never been more important.