How Data Helped Me Lower My Energy Bill
Learn how one Minitab employee used Minitab to help to reduce their energy bill.
Bringing Together IT and Operational Excellence Teams for Successful Digital Transformation
With 30 years of international experience in manufacturing, the thoughts of Industry Expert Greg Kinsey on digital transformation are worth reading!
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 Industry Expert Greg Kinsey on several data science topics are worth reading!
Build vs. Buy? Part 3: 3 Signs Your Build is Going Bad
Minitab's Bob Selfridge shares the top three scenarios where, in his experience, a self-made software build isn’t likely to work out.
Build vs. Buy? Part 2: 4 Benefits of Buying
Here are 4 reasons we think you’ll end up buying your next data preparation, integration, and management software solution.
Build vs. Buy? 5 Questions to Help You Decide
Build or Buy? Finding the optimal solution often means determining whether to buy a software solution or rely on an internal team to build one from scratch
Learning to Love Correlograms in the Latest Minitab Release
Learn why correlograms, among the new visualizations as part of the recent Minitab release, are such popular and useful tools for advanced analytics.
Better Together: Pairing Online and In-Person Learning is Key to Developing Critical Analytical Skills
Explore how pairing in-person with online learning opportunities can help individuals and organizations develop critical skills, in a win-win approach.
Do You Need to Improve Your Data Literacy? See If You Can Answer These 5 Questions
Ever see data analysis you didn’t understand but were too afraid to ask about? Start your data literacy journey! See if you can answer these 5 questions.
Dice, Dragons and Getting Closer to Normal Distribution: The Central Limit Theorem
Data analysts don’t count sheep at night. We look for a bell-shaped curve in their jump. Read more about normal distribution and the Central Limit Theorem!