Charlette_Tallant_Unit5_CaseStudy_Business Intelligence and Analytics in Major League Baseball
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Case Study 1: Business Intelligence and Analytics in Major League Baseball
Charlette Tallant
Post University
Dr. Matthew Zullo
CIS120_30
2/11/2024
1.
Baseball executives typically call their analysis programs “analytics.” Based on this
chapter’s BI and Analytics definitions, would you say that their programs are more
Business Intelligence or more Analytics? Or some of both?
The data analysis of the baseball programs would be a combination of Business Intelligence (BI) and Analytics. With the BI, they can utilize it to gather and organize data, as well as employ analytical techniques to derive insights and make important decisions. They go beyond the traditional Ecel-based analysis.
2.
Excel is a popular and powerful program with a good statistical package. Why do you
think baseball teams use tailored software applications for their data analysis, instead of
Excel?
Excel is an adjustable tool with statistical capabilities. Baseball teams use a tailored software application for their data analysis due to certain requirements of their industry. The software applications provide advanced functionalities and features specifically created for baseball analytics. It offers specialized algorithms, visual data tools and integration among other baseball-
specific data sources, giving the teams the ability to gain deeper insights and to make more accurate predictions.
3.
Baseball teams have used “scouts” to watch young men play at the high school and college levels. Scouts would report the evaluations to the front office, and players were hired based on these reports. Teams still do employ scouts to do this, but increasingly player potential is based on an analysis of doppler and video data. Do you think there will
come a day when scouts are no longer needed by major league teams?
The role for scouts is evaluating players based on direct observations, which is still valuable. The
increasing reliance on doppler and video data analysis would say that scouts may go away over
time. Advanced analytics and technological advancements will allow the teams to analyze wide amounts of data quickly and objectively, providing accurate assessments of players' potential. In the human element of scouting, like understanding a player’s personality and intangibles, may still be relevant and not completely replaceable technology.
4.
Most teams have at least a dozen data scientists and other analysts in their programs. Analysts earn high salaries and benefits. Office space, equipment, hardware, and software
are costly as well. What would you roughly think the data analysis program would cost a major league team each year?
A data analysis program can vary when it comes to a major league baseball team. It would depend on the size and the resources of the organization. The expenses can relate to hiring and compensating data scientists and analysts, getting and maintaining office space, the purchasing of hardware and software, also data management and analysis. The salaries of the analysts are high, costs of office equipment/space, the complex of managing and analyzing huge volumes of data. Overall, the annual cost could be from hundred thousand dollars to even million dollars.
References:
“Major League Baseball Fields Big Data, and Excitement, with AWS”, https:// aws.amazon.com/solutions/case-studies/major-league-baseball-mlbam/, accessed June 28, 2019; “The Evolution of MLB Scouting Is a Threat to the Profession Itself”, https:// www.theringer.com/mlb/2019/3/8/18255453/cincinnati-reds-scouting- reports-series-
part-3, accessed June 28, 2019
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