Generative AI Analytics for a State Cricket Association
Case Studies
Challenges & Solutions
Technical Environment
Results
Executive Summary
Client
A Major Indian State Cricket Association
Industry
Government
Business Problem
Customer is a State Cricket Association and is looking for a solution that can enhance the performance of their players. Whenever their team participates in a tournament, they capture ball to ball data and other related information which can be used to provide the required solution.
Outcome
- Enables data-driven player development through personalized performance insights.
- Empowers strategic team selection and tactical planning with
AI-powered analysis. - Provides a unified, intuitive dashboard for both individual and team performance metrics.
- Streamlines and enhances talent scouting and recruitment processes.
- Ensures secure, role-based access to customized data and analytical tools.
Challenges
- Data is available but generic reports are generated.
- Based on human intelligence only the coaches train their players.
- This is always limiting the performance.
- Unable to derive additional information related to each player due to time consumed in consolidating the information.
Solutions
- Gen AI Based solution to analyze player wise information.
- Analyze performance in the areas of batting, bowling and fielding.
- Solution provides information for the whole team or for the single player.
- Intuitive UI for easy access and usage.
- Role–based access to data and dashboards.
Technical Environment
- React, Bootstrap, HTML 5, Java, Spring Boot, OAuth, Python, Kafka, Jasper Reports, MySQL, Apache Tomcat, Nginx, Git, Maven, Docker, Kubernetes, SonarQube, Grafana, & Watsonx
Results
- Data–driven coaching with actionable insights.
- Improved player training through performance analytics.
- Reduced manual effort and faster access to player stats.
- Enables individualized practice focus.
- Centralized platform for accessing player analytics.
- Help improve collaboration across the departments.
- Enhanced decision–making for match strategies.
