Electronic Arts Player and Esports Analytics

Overview:
Make a PowerPoint document that describes the successful use of business analytics to create value in a business situation. You can think of this PowerPoint presentation as an executive-level presentation that you could present at a professional BUSINESS ANALYTICS CONFERENCE or to a group of executives at your current or future business.
Hint: You should follow the exact structure in the example PowerPoint. If you have no clue what next slide should be about, please refer to the example PowerPoint.
Checklist:
(1) Summarize a business.
(2) Describe successful analytics at the business including transferable best practices for analytics. This typically also includes some type of graphics such as business process flows, feedback approaches, etc.
(3) Specific data, especially visualizations, which display data from the use and benefits of analytics at the business. Note that you do not need to collect or analyze this data. You simply need to incorporate data that you obtained from other sources in order to deepen the understanding.
(4) Anything extra that you think adds value such as original ideas, further innovations, etc.
(5) 50% of the PowerPoint is Text, and 50% of the PowerPoint is graphs
(6) No plagiarism
Everything from this checklist should be accomplished when you upload your finished work.
PowerPoint Outline:
Slide 1: Intro to Electronic Arts Games/ Apex Legends
Slide 2: How does Electronic Arts utilize Data? (Use charts)
Slide 3: Example number 1- data analysis or method or other data generated info
Slide 4: Example number 2-data analysis or method or other data generated info
Slide 5: Example number 3-data analysis or method or other data generated info
Slide 6: Example number 4-data analysis or method or other data generated info
Slide 7: Example number 6-data analysis or method or other data generated info
Slide 8: Why is Analytics important in Esports and specifically in Electronic Arts?
Slide 9: Some Possible Improvements on EA games, especially some advices on data related issues.
Slide 10: Citation page
Thank you very much.

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