The movie ‘Moneyball’ discusses how Oakland manager Billy Beane A revolutionized the process by using computer-generated analyses for new players to find new baseball players on a budget to register new players and when best to put them on the list. It tells of the redevelopment driven by the data of Oakland A, founded by Billy Beane and Peter Brand, the general manager who used computer analysis to describe undervalued players.
Billy decided to reform the player purchase process in 2002. A statistical man named Peter Brand worked very closely with his assistant, rather than doing what most general executives do, which is listening to his talented scouting team. As the manager general, Billy used a mathematical approach that would revolutionize the sport to plan and acquire players. He further claimed that the general managers could obtain talented players who did not believe other franchises were worth anything by analyzing statistics on the player's abilities and experience. Peter Brand knew that one of the finest teams of the Oakland A league could be put together for much less capital. However, Billy and Peter Brand have shown that general managers can build a strong team by adopting business intelligence.
Data mining on hundreds of players was carried out by Peter Brand. Finally, statistics showed how much a player would score. The figures that baseball Scouts traditionally appreciated were not necessarily these statistics. It was looking for lower-cost players with elevated basic percentages, not competing with high-priced home-run hitters with high batting averages. He believed that players with a greater on-base percentage would be more useful than players with a low on-base percentage, even when they finally struck more homes and were quicker and stronger. He also urged players to concentrate on walking, forcing pitchers to strike to guarantee that they are out.
The approach is to discover both aggregate and granular data, concealed information, and specifically in real time, implement sophisticated computing techniques to process this information, comprehend the interconnection of the multivariable information, and finally optimize traditional procedures. Big data enables the kind of multivariable analysis that is necessary to define these connections and analyze them in order to create actionable understanding.
Big data is important because it gives enterprises useful insights into their business operations that can be used to enhance the method of managing a set of activities or operations within a specific enterprise. Brands and companies that use big data have a competitive benefit over those who disregard the information because they can make company judgments quicker and more reliable to be adopted. The movie ‘Moneyball’ utilizes comparative analysis to compare the abilities and benefits of the league’s players to establish a team with a view to saving costs. The advantages of big data adoption in ‘Moneyball’ are that companies are able to create better choices and operational effectiveness.
Finally, performance management is well adopted as it is a field that helps further evolve and implement the strategy and makes the approach more efficient so that business intelligence can be aligned with the business strategy aimed at monitoring the strategy and supporting fact-based decision-making as depicted in the movie itself. ‘Moneyball’ gives the viewers an insight into the importance of the usage of business intelligence that can aid organizations or businesses in producing better decisions in achieving targeted goals and objectives.