MoneyBall 101 for managers
During the InterACT San Francisco conference in May 2007, managerial consultant James Taylor nicely summarized the tenets of MoneyBall, as presented by Michael Lewis himself:
Mark Rittman of Rittman Mead Consulting lauds MoneyBall as a prime instance of "competing through analytics" and using smart arbitrage:
Mark Rittman of Rittman Mead Consulting lauds MoneyBall as a prime instance of "competing through analytics" and using smart arbitrage:
The trick . . . was to spot what the true signifying statistics were, and this is where techniques such as regression came in as hundreds of amateur statisticians ran the numbers and tried to establish just what player traits and actions were most likely to lead to either runs being scored, or hitters being caught out. . . . [I]t’s a classic case study of an organization gaining competitive advantage through an analytical approach to their business.All this is standard fare for longstanding fans of MoneyBall and MoneyLaw. Still, any moment in the Major League season in which the New York Yankees are closer to the basement than the division lead is a joyous occasion, and I thought I'd celebrate just a little today.
1 Comments:
"# Have "fame bias" — 80% of MLB players could be replaced by a minor league player without a negative impact!
# Have a number bias — as soon as you count something it becomes a fetish. For instance, creating a "save" as a statistic led to it becom[ing] a fetish and [Billy Beane's Oakland A's] would exploit this to drive up the value of a player"
What else is there to say?
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