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Client Profile
The client is a company that provides data analytics services in the field of Ice Hockey, American Football, Soccer, Cricket and Basketball. They use statistical analysis to offer recommendations to the teams, trainers and individual players in the game.
Project Overview
The work of Infosearch BPO Services was to create a player tracking and analysis system that would help its client to gather information concerning sports and their near performance primarily for analysis and presentation. What was wanted was to improve the decision making of the teams by providing impactful intelligence.
The Challenge
The client was struggling with capturing in timely and accurate way value from an immense amount of unstructured big data collected from drones and IoT sensors. The company realized that these data could not be harnessed for a logical and valuable rendition without sufficient annotation. It was observed that in order to strengthen the machine learning models used in their applications there was a dire need for a strong annotation framework.
Objectives:
Methodology:
Phase 1: Requirements Gathering
Phase 2: System Design
Phase 3: Data Collection
Phase 4: Analysis and Reporting
Phase 5: Testing and Iteration
Outcomes:
Conclusion
The transformation of the client’s method in tracking and analyzing the player was evident in the Infosearch BPO Services project. Not only was the project’s maximum goal of helping the team identify appropriate opponents achieved but also the groundwork laid for future research and developments in the field of sports analysis and, more specifically, kinesiological analyses. Teamwork brought about a solution that improved team productivity and decision-making matrix, positioning the client the bundle of services as an industry leader in sports analytics.
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