個案資料
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The Indian Premier League: Gauging Player Performance
內容大綱
In May 2019, a senior analyst and blogger for a market research firm decided to analyze the performance and pay of various top-rated cricket players in the Indian Premier League. Teams usually spent millions of dollars acquiring players through auctions, and on coaches and other key personnel, as well as promotional campaigns. The analyst had started following the player auctions, where bids on some players had run into millions of US dollars. He wanted to take a more objective and data-driven approach toward analyzing player rankings and how far players’ salaries reflected their performance, something that was often ignored by the pundits. The analyst wondered if these claims were at all valid and decided to use data visualization techniques to determine their validity.
學習目標
The initial part of this exercise can be used for exploratory data analysis in an undergraduate-level course on data analysis. However, the exercise is most applicable to courses in data analytics, marketing analytics, and sports analytics that focus on the concepts of principal component analysis and cluster analysis at the undergraduate and graduate levels. This exercise uses the 2019 edition of the Indian Premier League to demonstrate the application of data analysis techniques in a business context and their role in informing decision-making. After working through the exercise and assignment questions, students will be able to<ul><li>become familiar with the use of data visualization and analysis techniques applicable in business contexts;</li><li>understand principal component analysis and cluster analysis and their applications in data visualization and decision-making; and</li></ul>interpret the results from statistical analysis and communicate them effectively.