| Author's Name: |
David Fogarty |
| Subject Area: |
Science and Engineering |
| Subject |
Statistics |
| Section |
Research Paper |
Keyword:
“BIG DATA”, Six Sigma, Analytics, Quality, Improvement, Lean, Data Mining
Abstract
Lean Six Sigma and data analytics are widely used in many areas such as government, industry, healthcare, education and to-date have been complementary but not widely integrated. Six Sigma and Lean started out as two separate paradigms and then became combined for maximum impact. Using the same idea this paper explores the rationalization for consolidating Lean Six Sigma with advanced analytics in an effort to become even more effective at taking improvement projects to the next level. This is a timely and important research in an era of the “internet of everything” and the proliferation of “BIG DATA” in the commercial world.