4 Steps to Reduce Process Defects with Machine Learning and R Integration
We explore how to build a Neural Network in Minitab using R to compliment and compare with results from our own Predictive Analytics module.
Predictive Analytics: The Perfect Partner to Help Plan Your DOE
Read and learn about the benefits of Design of Experiments. See how Minitab can help in the initial planning phase and throughout the entire process.
4 Steps for Semiconductor Manufacturers To Improve Quality and Output
See how four simple steps can improve semiconductor quality and output.
The Rise of Predictive Analytics in Insurance
Explore Minitab's robust predictive analytics tools that make it faster and easier to get the insights you need from your data in the insurance industry.
4 Ways Your Company Can Fight Inflation Using Analytics
Inflation impacts our organizations in many ways. Learn about simple, actionable steps you and your company can use to effectively combat inflation.
3 Steps to Prevent Backorders and Optimize Your Inventory Levels
Learn the three steps to prevent backorder and optimize your inventory levels using Minitab solutions like Workspace, Connect and predictive analytics.
Bringing Together IT and Operational Excellence Teams for Successful Digital Transformation
With 30 years of international experience in manufacturing, the thoughts of Hitachi's Industry Executive Greg Kinsey on digital transformation are worth reading!
Predictive Analytics Comes of Age in Manufacturing
Predictive analytics doesn’t have to be the complex and specialized task it used to be. Minitab’s Auto Machine Learning (Auto ML) makes it more accessible.
The Battle of the Baseball Parks with ANOVA vs. ANOM
Using Analysis of Variance (ANOVA) and Analysis of Means (ANOM) we will learn which baseball parks are the best for hitters and for pitchers.
Data Science for Everyone: Understanding the Importance of Predictive Analytics
With 30 years of experience working with the manufacturing industry around the world, the thoughts of Hitachi's Industry Executive Greg Kinsey on several data science topics are worth reading!