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


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.


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Please select the relevant registrant type, and register early.


  • Even though the deadline to submit a proposal has passed, you may still submit a proposal for consideration for substitutions
  • Notification Date: Authors will be notified by October 31, 2018
  • Please see the Proposal Submission Guidelines here

Conference Chair's Message

Laura Martin-Samala

Continuous Process Improvement is not just something a Lean Six Sigma (LSS) practitioner helps organizations achieve, but is also a fundamental core competency of their personal make up. That is why  innovative companies are looking for people that use the LSS way of thinking at every level. In this age of “Big Data”, “IOT” and “AI”, ... read more