About Kevin Gray

Kevin Gray is president of Cannon Gray, a marketing science and analytics consultancy.

Kevin Gray Posts (32)

  • A Better Stats 101 - 12 Jun 2018
    Statistics encourages us to think systemically and recognize that variables normally do not operate in isolation, and that an effect usually has multiple causes. Some call this multivariate thinking. Statistics is particularly useful for uncovering the Why.
  • The Book of Why - 01 Jun 2018
    Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and causal analysis. These achievements notwithstanding, Pearl holds some views many statisticians may find odd or exaggerated.
  • Frequentists Fight Back - 24 May 2018
    Frequentist methods are sometimes described as “classical”, though most have only appeared in recent decades and new ones are under development as you read this. Whatever we call it, this branch of statistics is very much alive.
  • A Few Statistics Tips for Marketers - 06 Mar 2018
    Statistics can help good marketers become better marketers. Here are a few things they should know about stats.
  • Big Data: Promises, Challenges and Threats - 16 Feb 2018
    Marketing researchers are wondering what lies ahead for big data. Marketing Scientist Kevin Gray asks Professor Koen Pauwels for his thoughts.
  • How Not To Lie With Statistics - 11 Jan 2018
    Darrell Huff's classic How to Lie with Statistics is perhaps more relevant than ever. In this short article, I revisit this theme from some different angles.
  • Demystifying Data Science - 26 Dec 2017
    Marketing scientist Kevin Gray asks Dr. Randy Bartlett of Blue Sigma Analytics what Data Science really is and how it can help decision-makers.
  • Some Things to Remember About Memory - 14 Nov 2017
    A lot of the recent buzz about memory is old news.
  • Conjoint Analysis: A Primer - 01 Nov 2017
    Conjoint is another of those things everyone talks about but many are confused about…
  • Gold BlogWant to Become a Data Scientist? Read This Interview First - 13 Oct 2017
    There’s been a lot of hype about Data Science... and probably just as much confusion about it.