Fundamentals of Big Data & Business Analytics June 2024

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Fundamentals of Big Data & Business Analytics

June 2024 Examination

 

 

Please watch the movie Moneyball to better understand the context of the questions in the below assignment. If you cannot watch the match, you could still read a ton about it on the internet, specific to your questions and understand the context.

  1. The movie Moneyball showcases the application of analytics in professional baseball to identify undervalued players and optimize team performance. Discuss how the concepts of descriptive analytics, predictive analytics, and prescriptive analytics are demonstrated in Moneyball. Provide specific examples from the movie to support your explanation. (10 Marks)

Ans 1.

Introduction:

The movie Moneyball offers a compelling narrative on the transformative power of analytics in professional baseball, specifically focusing on the Oakland Athletics’ 2002 season. It vividly illustrates the application of descriptive, predictive, and prescriptive analytics in reshaping the team’s strategy and performance. Descriptive analytics, the foundational stage, is showcased through the A’s manager Billy Beane and his team’s use of historical player data to understand past performance and player attributes. For example, in one scene, Beane discusses player statistics like on-base percentage (OBP) and slugging percentage (SLG) to assess player value.

Predictive analytics is demonstrated through the recruitment process, where the A’s employ statistical models to forecast the future

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  1. One of the key challenges faced by the protagonist in Moneyball is resistance to change from traditional scouts and baseball management. Analyze the role of organizational change management in the adoption of analytics-driven decision- making, as depicted in the movie. How did Billy Beane overcome resistance and drive adoption   of   the   Moneyball   approach   within   the   Oakland   Athletics organization?      (10 Marks)

Ans 2.

Introduction:

In the movie Moneyball, the protagonist Billy Beane faces significant resistance to change from traditional scouts and baseball management when he tries to adopt an analytics-driven approach to decision-making for the Oakland Athletics. This resistance highlights the crucial role of organizational change management in implementing new strategies and technologies. Organizational change management involves planning, communicating, and managing change effectively within an organization to minimize resistance and ensure successful adoption.

In Moneyball, Beane

 

3a.Moneyball emphasizes the importance of data visualization in conveying insights to stakeholders. Identify and describe a specific scene from the movie where data visualization techniques are used to communicate analytical findings. How does this scene highlight the significance of effective data visualization in decision- making processes?                                                                       (5 Marks)

Ans 3a.
Introduction:

In the movie Moneyball, data visualization plays a crucial role in conveying analytical insights to stakeholders. One specific scene that highlights this importance is when Peter Brand, played by Jonah Hill, introduces Billy Beane, played by Brad Pitt, to the concept of using on-base percentage (OBP) as a key metric for evaluating players. This scene effectively demonstrates how data visualization can simplify complex data and convey actionable insights,

 

 

 

  1. Discuss the significance of big data and cloud storage in the context of Moneyball. How did the availability of large volumes of data and cloud-based processing platforms enable the Oakland Athletics to gain a competitive advantage in player recruitment and team management? Provide examples from the movie to support your explanation. (5 Marks)

Ans 3b.

Introduction:

In the movie Moneyball, big data and cloud storage play a significant role in transforming the Oakland Athletics’ approach to player recruitment and team management. The availability of large volumes of data and cloud-based processing platforms enables the team