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Development of Scalable Big Data Analytics Platform for OTT Video Monitoring and Monetization
  1. case
  2. Development of Scalable Big Data Analytics Platform for OTT Video Monitoring and Monetization

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Development of Scalable Big Data Analytics Platform for OTT Video Monitoring and Monetization

oxagile.com
Media
Sports
Advertising & marketing

Challenges in Global Video Delivery Optimization

The client requires advanced monitoring capabilities to analyze massive volumes of user behavior data across diverse geographies, devices, and content types. Current limitations in processing real-time and historical statistics hinder infrastructure optimization, CDN strategy decisions, and targeted advertising effectiveness. Existing systems cannot scale to handle millions of concurrent users while maintaining actionable insights for monetization.

About the Client

A U.S.-based over-the-top (OTT) streaming service specializing in live sports events, entertainment programming, and targeted advertising, serving a global audience with expanding territorial reach.

Strategic Development Goals

  • Implement scalable architecture for monitoring unlimited users and millions of database records
  • Develop dual-mode statistics processing (realtime + historical) for comprehensive analytics
  • Enable multi-dimensional audience analysis by CDN, country, device, and content preferences
  • Optimize video delivery infrastructure through data-driven CDN strategy selection
  • Increase ad revenue through segmented audience targeting and personalized recommendations

Core System Capabilities

  • Interactive dashboards for concurrent user tracking and QoS/QoE metrics
  • Automated report generation with customizable business metrics
  • Multi-CDN performance comparison and optimization module
  • Audience segmentation engine for targeted advertising
  • Trending content detection with viral propagation analysis
  • Historical playback quality analysis for infrastructure planning

Technology Stack Requirements

Java
Spring Framework
Hibernate
Apache Hadoop
Apache Kafka
MapReduce
MySQL
HTML5
CSS3
jQuery
Bootstrap

System Integration Needs

  • Multi-CDN provider APIs
  • AdTech platform integration
  • Existing OTT video delivery infrastructure
  • Geolocation services
  • Device analytics SDKs

Operational Requirements

  • Horizontal scalability to handle 10M+ concurrent users
  • Realtime data processing with <500ms latency
  • 99.99% system availability SLA
  • Role-based access control with GDPR compliance
  • Automated failover and disaster recovery

Business Value Projections

Implementation of this solution is expected to reduce CDN costs by 30-40% through optimized multi-CDN strategies, increase ad campaign CTR by 25% via precise audience segmentation, and enable 50% faster infrastructure scaling decisions. The system will support 20% faster market expansion through actionable territorial analytics while maintaining high-quality streaming experiences for global audiences.

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