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Harnessing the Power of Predictive Analytics

The demand for business intelligence continually increases. Tapping into predictive analytics, a type of data mining that can be used to make reliable predictions of future events based on analysis of historical data, can help.

Latest Articles

Case Study: DMAIC Project Improves Hospital’s On-time Completion of Administrative Tasks

Case Study: Reducing Purchase Order Cycle Time, Part 2

Case Study: Reducing Purchase Order Cycle Time, Part 1

Middle and High Schoolers Use LSS to Make Improvements – Part 2

Teaching Lean Six Sigma to Middle and High Schoolers – Part 1

From Chaos to Order: Reinvigorating a City’s Finance Department

Beyond Cost Savings: Making the Case for 5 Other Financial Benefits of LSS Projects

Best of iSixSigma: 2018

Enhance Six Sigma with Uncertainty Quantification, Part 2

Enhance Six Sigma with Uncertainty Quantification, Part 1

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Introducing SixSigma3.0 Sergey Glukhov
The History of the Hypothesis Testing Flow Chart Michael Cyger, Mike Carnell
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Recent Discussions

How to Reduce Subjectivity in FMEA? by STEF
11 hours, 58 minutes ago
What Is the Difference Between Project Scope and Process Scope? by moser
3 days, 12 hours ago
How Can We Learn from Our Successes? by Ahiru-san
3 days, 12 hours ago
What Are the Most Important Issues When Performing DOEs? by STEF
4 days, 13 hours ago

Featured Jobs

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Director Lean/Continuous Improvement Consulting Services
Philadelphia, Pennsylvania

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Wellington, New Zealand

Operations Manager
Fresno, California

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