The story of Moneyball is an informative tale. It is the true story of the Oakland Athletics baseball team in the 2002 season who managed to not only compete with teams who had nearly three times the payroll size and all the star players, but also won an American League record 20 games in a row. Their manager, Billy Beane, was able to achieve this by using sabermetrics, a newly invented term that describes the advanced statistics and metrics used to judge a player's contribution to the success of the team over traditional statistics and gut feeling, to draft and trade for undervalued players to create a competitive team under his small-market budget. This story is well known as a best-selling novel by Michael Lewis and later a film by the same name. Clearly it was successful in the field of baseball, but can it be used in other business industries? The idea of sabermetrics, or finding more information to predict the future of a player is very similar to the ideas of Information Measurement Theory (IMT) as theorized by Dr. Dean Kashiwagi, a professor at Arizona State University. The goal of this paper is to use Moneyball as a narrative to show how applying the concepts of IMT to businesses could allow them to better predict their performance and the future of their industry. Moreover, these same ideas can predict if the leadership of the company will be successful by analyzing their personal characteristics. This paper will act as a guide for businesses to start following the concepts of IMT and to better analyze themselves and their industry to increase performance and reduce stressful decision-making.