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Data Science Tools and Techniques to Turbo Charge Your Process Improvements

Presenter: Mark Cichonski, Director of Continuous Improvement, Lexis Nexis, Charlotte, NC, USA

Keywords: Six Sigma Big Data Science Tools, Python Machine Learning

Industry: Defense/Military, Financial Services, Service

Level: Intermediate


ABSTRACT

Big data and machine learning are all the buzz. Are these new techniques or are they something that can supplement existing process improvement tools? In this session, we will discuss what data science tools are and how they can be used to advance your process improvement efforts. From basic process analysis and six sigma tools, to working with large data sets, we will show how some of the most cutting-edge techniques are both easy to learn and deploy in support of your process improvement efforts. We will talk about how to use data science starting at the strategic, top of the house and then down to the tool level, where the rubber meets the road. Participants will leave the session understanding what tools are available, how to find them, and how to use them.



Participating Organizations at the Lean & Six Sigma  World Conference

Government Agencies

  • Department of Commerce
  • Department of Defense
  • Department of Energy
  • Department of Health & Human Svcs.
  • Department of Homeland Security

  • Department of Justice
  • Department of State
  • Department of the Treasury
  • Department of Transportation
  • Department of Veterans Affairs
  • Environmental Protection Agency
  • NASA
  • Naval Surface Warfare Center
  • Pentagon
  • U.S. Air Force

  • U.S. Army
  • U.S. Marine Corps
  • U.S. Navy
  • U.S. Veterans Affairs
  • United States Army Corps of Engineers

Corporations

  • AIG
  • Alcoa
  • AT&T
  • Bank of America Corp
  • BASF Corporation
  • Bayer Corporation
  • BMW
  • The Boeing Company
  • Bose Corporation
  • Bristol-Myers Squibb
  • Campbell Soup Company
  • Cardinal Health
  • Caterpillar
  • Chrysler Corporation
  • Chevron
  • Cisco Systems
  • Coca-Cola
  • Comcast
  • Daimler Chrysler
  • Disney
  • Dow Chemical


  • Dr Pepper 
  • Duracell
  • Dupont
  • Eastman Kodak
  • Facebook
  • Google
  • Exxon Mobil
  • Fedex
  • Ford Motor
  • General Electric 
  • General Motors
  • Gillette
  • Goodyear Tire
  • Hewlett Packard
  • Honeywell
  • Humana
  • IBM
  • Kohler
  • Lockheed Martin
  • Macy’s
  • M&M/Mars
  • ManpowerGroup
  • Maytag Appliances
  • Mercedes
  • Merck
  • Mitsubishi
  • Mobil Chemical
  • Motorola
  • NASA
  • Nestle 
  • Northrop Grumman
  • PepsiCo
  • Philip Morris International
  • PNC Financial Services Group
  • Pfizer
  • Pratt & Whitney
  • Procter & Gamble
  • Prudential
  • Raytheon
  • Rolls Royce Allison
  • Target
  • Johnson & Johnson 
  • Schindler Elevator Corporation
  • Schneider Electric
  • Shell
  • Siemens
  • Southwest Airlines
  • Staples
  • Tesla
  • Tiffany & Co.
  • Qualcomm
  • Underwriter Laboratories
  • UnitedHealth Group
  • United Technologies
  • Union Pacific
  • UPS
  • USAA
  • Verizon
  • Walmart
  • Wells Fargo
  • Westinghouse
  • Whirlpool
  • Xerox

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