The DMAIC Control Phase Will Perfect Your Processes; If You Remember To Implement It.

The NBA finals may be over, but we never fall short of making basketball analogies.

The DMAIC Control phase is a lot like running a fast-break. The entire play can be practiced and executed perfectly, but if the lay-up is missed it was all for nothing.

The Control phase is the final step in the DMAIC process. And while it's widely regarded as the most important, it's also the most neglected. Why is that? Our latest blog gives perspective on this critical oversight, and offers tips to help your organization "hit the lay-up" in the Control phase.

Read The DMAIC Control Phase: Why the Most Critical Phase is Often the Most Overlooked

 
Summer on the Playground Challenge

Join Us On The Playground This Summer!

Summer is underway, and we're ready to have some fun! Join us on LinkedIn for a brand new challenge involving Process Playground, our process modeling software. Every two weeks, we'll post a summer-themed process for you to model. This challenge will help you get familiar with Process Playground and modeling different processes. See you on the Playground!

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PROFESSIONAL DEVELOPMENT

 
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There's Still Time To Register For Our Fall Blended Program!

The summer Blended Program for Green and Black Belts is well underway! Ready to take the next step in your career advancement?

See Upcoming Dates for Blended Green Belt

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Executive Certificate in Data Science

Develop your data analytics expertise in our partner program with the University of Notre Dame. Learn the basics of machine learning and big data, as applied to process improvement challenges. Fall sessions will be held virtually Sept. 20 - Nov. 3.

See the Program Details

 

LEAN RESOURCES

 
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Can You Trust The Yelp Reviews?

Hopping online to check out reviews of the restaurant you made reservations for tonight is commonplace. But can they be trusted? With the onslaught of information we receive in this digital zeitgeist, various forms of bias exist within data collection. How can we learn to spot the data and separate the bias from the truth?

Read Beware of these Common Types of Bias

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Data Is Not Just For Data Scientists

Everyone has a role to play when it comes to data. Regular people, those without "data" in their title, are central to all data-related work. Yet recent research confirms that these people are missing from too many data programs, limiting the scale and impact of these efforts.

Read Your Data Initiatives Can't Just Be For Data Scientists

 

CLOSING QUOTE

 

"Like any effort to influence human behavior, merely issuing instructions is not sufficient. Institutionalizing the improvement requires compliance, and real compliance requires more than an updated policy manual."

- Bill Hathaway, The DMAIC Control Phase: Why the Most Critical Phase is Often the Most Overlooked


 
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