Using Dashboard Technology

This is the continuation of a transcript of a presentation by Stu Worman from Indiana University at an IT conference for unversity IT professionals.

So the philosophy here is that we are really using this dashboard technology just to help us organize our data into real information. We are using people to analyze what is going on. There is no artificial intelligence going on. It doesn’t come back and say “Hey, you know the DHCP isn’t working right now so you have a problem you need to go look at it.”

The gauges on a dashboard are just indicators to help you know there is something going on that you need to go ask questions about and find out what is happening. So you can make better decisions. So good decisions really depend on this data, but sound decisions are rooted in facts. You have to have the facts to be able to stand up to what is going on.

While your instincts might lead you to good decisions, it’s also good that you can have some understanding, and you have replication, and you have convergence. You know what is going on.

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We have graph that we can measure activity over the same time last year in the academic year. So that means not just lining up the same day of the calendar year, but lining up the first day of classes, for example, since that could be a different day this year.

And we can see how those graphs measure. And you know it is just amazing to me that the trends a year ago for the same academic day are almost exactly the same. So if they aren’t, I better find out what is going on and figure out how we can address those things.

So really what we’re doing here is trying to turn information into information that cannot be ignored. If you haven’t read or listened to “Good to Great,” it’s a really great resource that I would suggest to you. Not just for a dashboard, not just for decision-making, but just for management in general. He really does talk a lot about how you have got to get your information into a place where you cannot ignore it. So I suggest that book to you.

Case Study: Enhancing University Athletics with InetSoft's Dashboard Application

University athletic departments are responsible for managing vast amounts of data related to athlete performance, recruitment, team scheduling, fan engagement, and financial operations. Riverside State University (RSU), a mid-sized institution with a strong athletics program, faced challenges in analyzing and managing these complex datasets efficiently. To address these issues, RSU implemented InetSoft's dashboard application, which provided real-time analytics, streamlined operations, and enhanced decision-making.

This case study explores how RSU's athletics department leveraged InetSoft's dashboard application to improve performance tracking, optimize recruitment, enhance fan engagement, and drive financial efficiency.

Background

RSU has a diverse athletics program, including football, basketball, soccer, and track and field, with over 500 student-athletes competing at the collegiate level. Before implementing InetSoft's dashboard solution, the athletics department encountered several key challenges:

  • Data Silos: Information related to athlete performance, game statistics, financial budgets, and recruitment was spread across multiple platforms, making it difficult to derive actionable insights.

  • Inefficient Decision-Making: Coaches, recruiters, and administrators relied on manual data compilation, leading to delays in strategic planning.

  • Limited Performance Analytics: Tracking individual and team performance metrics required significant manual effort, impacting training optimization.

  • Financial Management Difficulties: Managing scholarships, sponsorships, and operational expenses without a centralized view made budget planning cumbersome.

To overcome these inefficiencies, RSU's athletics department adopted InetSoft's dashboard application to unify data sources and enhance analytics capabilities.

Implementation of InetSoft's Dashboard Application

RSU's athletics department worked closely with InetSoft to deploy a customized dashboard solution tailored to its needs. The implementation focused on four primary areas: athlete performance analytics, recruitment optimization, fan engagement, and financial management.

1. Athlete Performance Analytics: Data-Driven Training and Strategy

Tracking athlete performance is crucial for optimizing training regimens and improving game-day strategies. InetSoft's dashboard application allowed RSU to:

  • Integrate data from wearable fitness trackers, game statistics, and medical reports into a single analytics dashboard.

  • Monitor real-time performance metrics such as speed, endurance, recovery time, and injury risks.

  • Analyze trends across seasons to develop more effective training and conditioning programs.

Results:

  • Improved individual athlete performance by 15% through data-driven training adjustments.

  • Reduced injury rates by 20% by identifying high-risk players and implementing preventive measures.

2. Recruitment Optimization: Identifying and Attracting Top Talent

Recruiting top-tier athletes is a competitive process that requires in-depth analysis of potential candidates. InetSoft's dashboard application enabled RSU to:

  • Aggregate scouting reports, high school performance statistics, and academic records into a single database.

  • Use predictive analytics to assess the potential success of recruits based on historical data.

  • Streamline communication with recruiters, coaches, and student-athletes to improve engagement.

Results:

  • Increased successful recruitment of high-performing athletes by 18%.

  • Reduced scouting and evaluation time by 30%, allowing recruiters to focus on building relationships with prospects.

3. Fan Engagement: Strengthening University and Community Connections

Engaging fans and alumni is essential for maintaining a strong athletics program. InetSoft's dashboard solution helped RSU:

  • Analyze fan attendance, merchandise sales, and social media engagement to tailor marketing strategies.

  • Personalize outreach efforts based on fan behavior and preferences.

  • Track ticket sales and promotional campaigns to maximize event attendance.

Results:

  • Increased game attendance by 25% through targeted marketing efforts.

  • Boosted merchandise sales by 12% by analyzing purchasing trends and adjusting inventory accordingly.

4. Financial Management: Streamlining Budgeting and Revenue Tracking

Managing the financial aspects of a university athletics program requires careful planning. InetSoft's dashboard application allowed RSU to:

  • Monitor scholarships, sponsorships, and operational costs in real-time.

  • Optimize budgeting by forecasting future expenses and revenue streams.

  • Ensure compliance with NCAA financial regulations through automated reporting.

Results:

  • Improved budget accuracy, reducing financial discrepancies by 22%.

  • Increased sponsorship revenue by 15% by identifying new partnership opportunities.

Challenges & Lessons Learned

While the implementation of InetSoft's dashboard application brought significant improvements, RSU encountered a few challenges:

  1. Integration with Existing Systems: Some legacy software required additional customization to ensure seamless data integration.

  2. User Adoption: Coaching staff and administrators required training to fully leverage the dashboard's capabilities.

  3. Data Privacy and Security: Ensuring compliance with student-athlete data protection regulations required collaboration with IT and legal teams.

Conclusion & Future Plans

By adopting InetSoft's dashboard application, RSU's athletics department transformed its approach to performance analytics, recruitment, fan engagement, and financial management. The ability to analyze real-time data and generate actionable insights has given RSU a competitive edge in collegiate athletics.

Looking ahead, RSU plans to:

  • Expand the use of AI-driven predictive modeling for advanced game strategy development.

  • Implement blockchain-based ticketing to enhance security and reduce fraud.

  • Develop additional integrations with NIL (Name, Image, and Likeness) platforms to support student-athlete branding opportunities.

Key Takeaways

  • Data Integration Enhances Decision-Making: Centralized access to athlete, recruitment, and financial data improved operational efficiency.

  • Predictive Analytics Optimizes Performance and Recruitment: AI-driven insights led to better athlete development and talent acquisition.

  • Engaging Fans Drives Revenue Growth: Analyzing fan behavior resulted in more effective marketing strategies and increased attendance.

  • Financial Transparency Ensures Sustainability: Real-time budget tracking helped streamline financial planning and compliance.

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