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Scalable Big Data Analytics Platform for Mobile Gaming User Insights and Monetization Optimization
  1. case
  2. Scalable Big Data Analytics Platform for Mobile Gaming User Insights and Monetization Optimization

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Scalable Big Data Analytics Platform for Mobile Gaming User Insights and Monetization Optimization

effectivesoft.com
Gaming
Information technology

Challenges in Scalable Data Analytics and Real-Time Insights for Rapidly Growing Mobile Gaming Platform

Existing analytics infrastructure unable to handle increasing data volumes from user growth, resulting in delayed/faulty insights, poor KPI tracking for monetization, and inadequate platform health monitoring. Legacy Postgres system lacked scalability and real-time processing capabilities.

About the Client

A rapidly growing mobile gaming company operating a multiplayer interactive gaming application, seeking data-driven monetization strategies and real-time user behavior analytics.

Objectives for Enhanced Data Analytics Platform Implementation

  • Migrate to a horizontally scalable cloud data warehouse for petabyte-scale analytics
  • Implement automated data orchestration pipeline for structured/unstructured data sources
  • Develop real-time analytics dashboard for user behavior tracking and monetization metrics
  • Create predictive pricing models for in-game purchase optimization
  • Ensure system adaptability to evolving data schemas and sources

Core Functional Requirements for Gaming Analytics Platform

  • Snowflake data warehouse migration with optimized schema design
  • Apache Airflow-based ETL pipeline for CSV-to-Parquet conversion
  • Real-time user activity monitoring dashboard with retention metrics
  • Revenue prediction models for dynamic pricing of virtual goods
  • BI tool integration for self-service analytics

Target Technology Stack for Analytics Platform

Snowflake (data warehouse)
Apache Airflow (orchestration)
Parquet (columnar storage)
AWS (cloud infrastructure)
Java/JavaScript (backend)
PostgreSQL (legacy migration source)

Critical System Integrations

  • Firebase authentication integration
  • Google Play Billing API
  • AWS S3 data lake integration
  • Tableau/Power BI visualization tools
  • gRPC-based microservices communication

Essential Non-Functional Requirements

  • Horizontal scalability to handle 10x data growth
  • Sub-second query latency for dashboards
  • 99.95% system availability SLA
  • Automated schema evolution capabilities
  • Cost-optimized storage with pay-per-use model

Expected Business Impact of Modernized Data Analytics Infrastructure

Enable real-time decision-making through immediate access to petabyte-scale gaming analytics, achieve 30%+ revenue uplift from dynamic pricing models, reduce infrastructure costs through Snowflake's elasticity, and maintain competitive advantage through proactive platform health monitoring and user retention insights.

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