LSS World
ABSTRACT LIBRARY
Augmenting Your Analytics Toolkit for the Digital Age

LEAN SIX SIGMA WORLD CONFERENCE ABSTRACT

Augmenting Your Analytics Toolkit for the Digital Age

Presenter:	Cheryl Pammer, Sr. Advisory User Experience Designer/Technical Trainer, Minitab, San Diego, CA, USA
Keywords:	Analytics, Regression Trees
Industry:	All
Level:	Advanced

With a strong background in analytics, Six Sigma professionals are well-positioned to lead the digital transformation within their organization. Why? Because data science is the process of extracting information and learning from data in order to inform decision making in a proactive and systematic fashion that can be generalized. As a Six Sigma practitioner you have likely been doing this for years but may need to add some additional machine learning techniques to your analytics toolkit to address the new challenges associated with the magnitude of data in the digital age. For example, regression is a standard six sigma analytics tool, but this classical approach applied to the analysis of big data can present problems. Join me in learning how to move from regression to regression trees and beyond as a first step in the journey toward big data analytics.

Proposal Submission Deadline:
October 11, 2019

Acceptance notification date:
November 11, 2019

Early Registration Deadline:
February 11, 2020

Please make sure to review and prepare the material needed before you start the on-line Proposal Submission Form. Click here to see Proposal Submission Guidelines.

Who May Submit: This online form may be used by a principal speaker, co-speaker, contact person, or a committee member submitting on behalf of a speaker.

Multiple Proposals: You may submit multiple proposals.

Conference Registration Fee:
The conference registration fee is waived for the principal speaker of accepted proposals. Speakers are responsible for their travel expenses and arrangements. Co-speakers will receive a 20% discount for the conference that they are presenting at.

Length of Presentations: Technical sessions are typically 35 minutes. There will be a limited number of "double" sessions, 70 minutes, at the end of each day.