A Life Cycle View of Statistics

• Activity Number: 393 - A Life Cycle View of Statistics
• Type: Invited
• Date/Time: Tuesday, July 31, 2018 : 2:00 PM to 3:50 PM
• Sponsor: Section on Physical and Engineering Sciences
• Author(s): Laura Freeman* and Ron S Kenett* and John Peterson* and Agus Sudjianto*
• Companies: Institute for Defense Analysis and KPA Group and Glaxo-Smith-Kline and Wells Fargo
• Keywords: Leadership; Life Cycle; Data Science; Big Data; Statistical Engineering

Abstract

This panel will probe the issues in a life cycle view of Statistics, focusing on the evolving roles for Statisticians in a world that is increasingly data focused. It will provide a platform for presenting ideas and experiences on the role of Statistics and Statisticians and our leadership potential.

Deming defined the role of a Statistical Leader, Hahn promoted the concept of an Embedded Statistician, Snee and Hoerl introduced Statistical Engineering, Kenett and Shmueli proposed a system for information quality. In these perspectives, the contribution of Statisticians goes well beyond the use of Statistical tools and methods. Kenett (2015) discussed statistical leadership with a life cycle view.

Topics for discussion include: - What is the role of Statisticians in the Big Data era? - What is needed for Statisticians to stand out as leaders? - What skills are required by Statisticians in this modern era? What past knowledge areas can be dropped? - Are Statisticians good at producing quality information? If not, what should be done to improve this situation? - How should Statistics be taught to support future needs? - Are Statistics and Data Science complementary? How?