November 30, 2020
Rapid Learning Cycles
How to Gain Insights to Enhance Performance
When Historical Data Isn’t Viable in a World
Reshaped by COVID-19
Many organizations that are used to using models based on historical data to make key marketing, customer support and resource allocation decisions are now faced with a unique challenge as the ways people acted even several months ago are no longer relevant to how the same decisions are made in a world reshaped by COVID-19. Russell Baris has had extensive experience uncovering high impact, actionable insights in situations where historical data has not been available. He will share stories and learnings from an approach that he has had much success with in overcoming this challenge.
Russell Baris founded eLumindata in 2006, making it one of the earliest data science companies. eLumindata works with partners across multiple industries to uncover relevant insights from data to achieve impact in ways that go beyond traditional analytics. Previously, Russ spent over 20 years at Pfizer, building and leading a Management Science group that was recognized with the INFORMS Prize, serving as VP, Business Technology & Information Science and leading teams that brought numerous innovations to Pfizer.
Russ has been a long-time member of the INFORMS Metro NY Chapter. He has given talks at a dozen universities and has served on numerous advisory boards and non-profit boards, including the Harvard Alumni Association Board of Directors, where he recently served as co-chairman of their Data & Discovery Committee. He holds BA & MS degrees in Applied Math/Economics from Harvard.