CART: Classification and Regression Trees for Sales Recruitment
Learn how to build a data-driven recruiting profile using CART in Minitab Statistical Software. Our solution helps you screen candidates efficiently.
Minitab for HR: Analyzing Recruiting Data to Hire the Best Candidates Quickly
By analyzing data using Minitab Statistical Software, HR professionals can make their recruitment activities more targeted, efficient and yield better results.
5 Proven Improvement Initiatives for Banking and Financial Services
If you’re looking for ideas for areas to target, tackle and transform your banking or financial institution, here are five great places to start!
One Basic Statistical Method Every Marketer Should Know for Simple A/B Testing
Most marketers use A/B testing. Learn how to calculate whether A/B testing results are statistically significant with a Two-Sample Proportions Test in Minitab.
How to Foster a Culture of Innovation: A Q&A with Greg Kinsey
Greg Kinsey has +30 years of experience working with the manufacturing industry. He shares why innovation is so critical, and ways to be more innovative.
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.
How to Make Your PPAP Process Painless, Polished, and Pleasing to Your Customers
Make your PPAP another reason why doing business with you is easier and you’ll reap the rewards.
Why You Need Your Control Charts to be In-Control
Control charts tell you whether a process is in-control. If a process is out-of-control, you need to fix the causes that affect the process intermittently.
Beyond Ordinary Business Intelligence Dashboards
Minitab is the only company to leverage the advanced analytics, including statistics, to power BI dashboards today.
Don't Automatically Settle for a 30 Piece Capability Study…
Minitab’s confidence intervals offer a better sense of the variability and you can avoid costly mistakes that could result from a small sample size.