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QuickSight March Madness Dashboard: Explore NCAA Tournament History

Published
March 18, 2025
Historical NCAA tournament brackets displayed in AWS QuickSight

March Madness is one of the most exciting times of the year for basketball fans. Now, thanks to AWS QuickSight, you can gain powerful insights into historical NCAA tournament data like never before.

In this blog post, we'll explore how the March Madness dashboard built on QuickSight offers an easy-to-read visualization of tournament history. Whether you're a basketball analyst, fan, or researcher, this dashboard consolidates all the historical data you need into one accessible location.

Seeding Sheet: Analyzing Seed Matchups and Performance

The Seeding Sheet helps users understand how different March Madness seeds have historically performed against each other. As you can see below, by adjusting interactive sliders, users can compare matchups and examine win percentages for each seed.

Key features:
  • View overall records and winning percentages for each seed.
  • Track how far each seed's teams have advanced in the tournament.
  • Compare performance trends across different seeding matchups.

Brackets Sheet: Explore Every Tournament Bracket Since 1939

The Brackets Sheet provides a historical look at every NCAA tournament bracket dating back to 1939. The tournament structure has evolved, and this feature helps users understand format changes.

Key features:
  • Browse every NCAA tournament bracket since the first event.
  • See how the bracket format has evolved over the years.
  • View the champion history and explore winning team data.

Teams Sheet: In-Depth Analysis of Teams and Conference Data

The Teams Sheet offers a detailed analysis of team performance and conference-specific data throughout NCAA tournament history. Users can explore which teams have been the most successful in March Madness.

Key features:
  • Analyze team performance by conference over the years.
  • Select a team to explore detailed historical data, including seeding and past results.
  • Gain insights into consistent top-performing teams.

Q&A: Ask Questions About NCAA Tournament Data

AWS QuickSight Q enables users to interact with historical tournament data using natural language queries. This powerful Generative BI feature allows users to find insights quickly and efficiently. You can find the topic here.

Key features:
  • Ask questions in natural language for instant insights.
  • Access pre-verified questions or create custom queries.
  • Get immediate answers to tournament statistics and trends.

Conclusion

This March Madness dashboard built on QuickSight is the ultimate tool for exploring NCAA tournament history. Whether you're a basketball enthusiast, analyst, or researcher, this dashboard offers a user-friendly way to analyze and compare tournament data.

Ready to explore? Check out the dashboard above or on our public data portal here and see how AWS QuickSight is transforming the way organizations interact with and share data!

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