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How do sports analysts leverage data analytics to influence decision-making in sports organizations, and what emerging trends should aspiring professionals be aware of?

I am interested in Business Administration and Sports Management. I play basketball here at the division 3 level at north central university. I plan to get a job right out of college. #Spring25 #spring25

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Sneha’s Answer

Hey Macy! Sports analysts use data analytics to help teams make smarter decisions about player performance, game strategy, and even fan engagement. By breaking down stats and trends, they give coaches and front offices a clearer picture of what works and what needs improvement. Emerging trends like wearable tech, AI-driven scouting, and real-time performance tracking are changing the game fast. With your background in business and sports, plus your firsthand experience as a college athlete, you already have a unique edge. Keep learning the tools of analytics and stay open to new tech. Your passion and drive will take you far in the sports world! Good luck!
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Kyle’s Answer

Macy – It’s great to see you thinking strategically about your career and asking such forward-thinking questions. When it comes to data in sports, there are really two key areas to consider: what data is being collected and how that data is analyzed.
Even the most advanced AI can’t provide meaningful insights if you’re not collecting the right data. For example, if the goal is to boost fan engagement, but you only have player performance data, you’re missing a big piece of the puzzle. Team managers and owners usually start by identifying a specific problem they want to solve, and it’s up to sports analysts to determine what data is needed and how to use it.
If you’re focused on improving player performance and reducing fatigue, you’d want to gather health-related data—like blood tests, wearable health tracker data, nutrition, sleep patterns, and activity durations. You might even analyze custom equipment data, such as insoles, to maximize performance. For game strategy, AI-powered wearables can provide real-time tactical suggestions, and AI can analyze game footage and statistics to uncover patterns and weaknesses in both your team and opponents.
Ultimately, it all comes down to clearly defining the problem, collecting the right data, analyzing it effectively, and collaborating with experts to interpret the results.
This approach highlights not just the power of data, but the critical importance of gathering the right data to drive meaningful insights and results. Keep asking these big-picture questions—they’re essential for making an impact in the evolving world of sports analytics!
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