Jim Duarte

Talk Synopsis: Quality and Six Sigma have significantly more analytical possibilities in the 21st Century with the advances in technology in the Digital Age. Today data warehouses, historian systems, streaming data capabilities and the cloud make it possible to see nearly a whole population rather than sampling to perform analytics. This session will investigate and make recommendations related to including quality professionals into a collaborative effort to better use Big Data for making better, more consistent, decisions in an organization. A pathway will be presented for quality professionals to update their training to take advantage of Big Data and Advanced Analytics capabilities. Examples will be presented for such methods as Machine Learning predictive modeling, Analytical Network Diagrams and text analytics. Strategies and methods will also be presented for approaching management to propose a Big Data collaborative that includes subject matter experts (SME's) from IT, quality, engineering and even marketing. These strategies will highlight the value of having the right people working together to perform the best analytics, with best tools using the most applicable software. Too often Senior Management believes that "anything data" belongs to IT. A model will be presented to help with building a collaborative that gives management more information from Advanced Analytics to optimize decision-making in the organization. Additionally, analytical software will be discussed to show the pro’s and con’s of open source; i.e., R and Python as well as closed source software systems. A strategy for selecting the best analytical software for the organization will be proposed.

Biography:

Jim Duarte is an Academician of IAQ, a Fellow of ASQ, and holds certifications as a Quality Engineer, Six Sigma Black Belt and Lean Six Sigma Master Black Belt. His most recent publications are on Disruptive Analytics and Data Science. He is co-author on 9 international patents for advanced analytics in Oil & Gas, and Utilities. Jim worked as a corporate director for two Fortune 100 companies. His positions included Director, Strategic Business Analytics for Anheuser-Busch, Senior Data Scientist for SAS Institute, and Technology Director, Corporate Quality Assurance for Reynolds Metals. He chaired the committee on statistical procedures for the Aluminum Association and served on the GMP SPC Committee for the Pharmaceutical Manufacturers Association. He also served on the Awards Board of ASQ. Jim holds BS and MS degrees in statistics.

Address:United States