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Scalable Data Analytics Platform for 3D Educational Systems with Real-Time Insights
  1. case
  2. Scalable Data Analytics Platform for 3D Educational Systems with Real-Time Insights

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Scalable Data Analytics Platform for 3D Educational Systems with Real-Time Insights

nix-united.com
Education
Medical
Information technology

Inability to Derive Actionable Insights from Multi-Source Data

Existing data infrastructure struggles with increasing volumes of app usage data, server-side transactional data, and email analytics. Lack of unified platform to generate real-time marketing/product insights, identify underutilized application features, and support data-driven decision-making across global operations.

About the Client

Leading provider of advanced 3D visualization educational content for medical professionals and institutions, serving global universities with anatomy training solutions

Strategic Goals for Data Platform Modernization

  • Develop scalable cloud-native data pipeline for multi-source ingestion
  • Implement real-time analytics capabilities for marketing and product teams
  • Create interactive visualization dashboards for KPI tracking and user behavior analysis
  • Establish automated data quality monitoring and anomaly detection
  • Enable cross-application data integration for future expansion

Core System Capabilities

  • Multi-source data ingestion (mobile/web app events, server logs, email streams)
  • Automated PII masking and data normalization pipeline
  • Cloud data warehouse (Snowflake) for structured analytics
  • Interactive Tableau dashboards with drill-down capabilities
  • Scheduled and real-time data processing workflows
  • Comprehensive data quality monitoring with alerts

Technology Stack Requirements

AWS
Snowflake
Tableau
Python
Kinesis
Lambda
PySpark

System Integration Needs

  • Operational databases (PostgreSQL/MongoDB)
  • Cloud storage solutions
  • Third-party marketing platforms
  • Email service APIs
  • Existing BI tools

Operational Constraints

  • Auto-scaling architecture for variable data volumes
  • 99.9% system availability SLA
  • Enterprise-grade data encryption and compliance
  • Sub-second query response times for dashboards
  • Infrastructure-as-Code (IaC) for traceable deployments

Anticipated Business Outcomes

Enables data-driven marketing optimization, identifies product enhancement opportunities through usage analytics, reduces infrastructure maintenance costs by 40% through reusable components, and supports 500% growth in data processing capacity for future application integrations.

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