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!
Analyzing Bitcoin Data Using the Minitab Predictive Analytics Module
Minitab Senior Advisory Data Scientist, Mikhail Golovnya, demonstrates how to use Minitab Predictive Analytics Module to identify Bitcoin trends.
Feature Engineering for Machine Learning and Predictive Analytics
Explore the importance of feature engineering for machine learning, how it relates to data manipulation and learn proper technique application in Minitab.
Enhancing and Digitizing the Customer Experience in Financial Services
Explore two examples about automation and harnessing data analysis to enhance and digitize your customers' experience in the financial services sector.
How to Predict and Prevent Product Failure
When a reliability issue is reported, you need to identify risks for products still in use. Read this Blog to discover how to predict and prevent failure.
Bullwhip on the Brain? 5 Ideas to Improve Efficiency and Counteract Supply Chain Effects on Your Business
Counteract the bullwhip effect COVID-19 has put on supply chains by improving efficiency in your business. See the five simple ways to find efficiency.
Predictive Analytics and Determining Patient Length of Stay at Time of Admission
Learn how historical data from a hospital can be used to accurately predict how long a patient will stay based on information you know when they arrive.