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Cloud-Based Performance Monitoring and Data Analytics Platform for Sports Organizations
  1. case
  2. Cloud-Based Performance Monitoring and Data Analytics Platform for Sports Organizations

Cloud-Based Performance Monitoring and Data Analytics Platform for Sports Organizations

altoroslabs.com
Sports
Information technology

Identified Challenges in Centralized Athlete Performance Data Management

The client faces difficulties in providing centralized access to performance data from multiple smart devices deployed across diverse training camps. The existing on-premises system limits the ability to analyze athlete progress over time, hampers data security and compliance (e.g., GDPR), and prevents coaches from developing data-driven performance strategies. Additionally, data inconsistency due to varied measurement units complicates visualization and analysis.

About the Client

A mid-sized company providing hardware and software solutions for professional athletes and sports teams, aiming to centralize data collection and enhance performance analysis across multiple training facilities.

Goals for Developing a Cloud-Enabled Athlete Performance Analytics System

  • Develop a scalable, cloud-native platform to centralize and access historical athlete performance data across multiple training locations.
  • Implement high availability and security measures to ensure data integrity, prevent tampering, and comply with data protection regulations such as GDPR.
  • Integrate data from 13 different types of performance monitoring devices, supporting various measurement units, into unified visualization dashboards.
  • Enable role-based access controls allowing qualified coaches to supervise and analyze athlete data securely.
  • Create responsive web and mobile interfaces for seamless data visualization and real-time monitoring.
  • Incorporate secure authentication mechanisms, including multi-factor authentication, to restrict data access and improve system security.

Core Functional Features and System Capabilities

  • Centralized data repository accessible globally for authorized users
  • Integration with various device types measuring parameters such as speed, force, weight, and velocity
  • Unified data visualization dashboards that consolidate different measurement units into coherent performance graphs
  • Role-based access control with authentication via cloud identity services
  • Secure data handling with encryption and tamper-prevention mechanisms
  • Multi-platform Web and mobile application interfaces for visualization and data management
  • Compliance with GDPR and other relevant data protection regulations
  • Real-time data ingestion and performance monitoring capabilities
  • Multi-factor authentication for enhanced security

Recommended Technologies and Architectural Approaches

Cloud Platform: Microsoft Azure or equivalent cloud infrastructure
Frontend Development: TypeScript with modern frameworks supporting responsive design
Visualization Library: Telerik KendoReact or similar for data visualization and unit consolidation
Authentication: Cloud identity services providing multifactor authentication, such as Azure Active Directory
Data Security: Encryption standards and tamper-proof data storage solutions

Essential External and Internal System Integrations

  • IoT device data streams from diverse sports performance sensors
  • Authentication and identity management systems
  • Data compliance and security tools to ensure GDPR adherence

Critical Non-Functional System Requirements

  • System scalability to handle increasing data volume from multiple devices and locations
  • High system availability to ensure continuous access for global users
  • Robust security measures to prevent data tampering and unauthorized access
  • Performance optimized for real-time data ingestion and visualization
  • Compliance with GDPR and other relevant data privacy standards

Expected Business Benefits and Impact of the New System

The deployment of a centralized, secure, and scalable cloud platform will enable real-time monitoring and comprehensive analysis of athlete performance data across multiple training sites. This will facilitate data-driven coaching strategies, improve athlete development, and ensure compliance with data regulations. The solution aims to increase operational efficiency, enhance data security, and provide a competitive edge through advanced analytics and visualization, ultimately leading to better athletic performance outcomes.

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