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🎯 The Data Integration Challenge

Marzi by Primus, India's leading active aging platform serving thousands of seniors, needed a unified data ecosystem to power their comprehensive eldercare services. With multiple touchpoints including their mobile app, CRM system, WhatsApp communications, Health MAP services, travel bookings, and community events, they required a self-service data platform that could integrate all data sources, provide real-time insights, and enable rapid decision-making for their growing senior care operations.

Senior Care Domain Expertise:
Our FDEs embedded with Marzi's operations team for 5 months, deeply understanding the unique data requirements of active aging services, from health monitoring and wellness tracking to community engagement and travel coordination for senior members.
Self-Service Data Architecture:
Designed and built a comprehensive data platform enabling Marzi's team to independently add new data sources, create custom dashboards, generate reports, and validate data quality without technical dependencies.
Real-Time Communication Integration:
Implemented sophisticated WhatsApp Business API integration with real-time message processing, automated response handling, and comprehensive conversation analytics to enhance member engagement and support.
Unified Data Integration Platform:
Comprehensive ETL pipeline integrating CRM data, mobile app databases, WhatsApp messages, health monitoring data, travel bookings, and community event participation with real-time synchronization and automated data validation.
Self-Service Analytics Dashboard:
Intuitive drag-and-drop dashboard builder enabling non-technical team members to create custom reports, track member engagement, monitor health outcomes, and analyze service utilization across all Marzi offerings.
Real-Time WhatsApp Intelligence:
Advanced messaging pipeline processing WhatsApp communications with sentiment analysis, automated categorization, response time tracking, and integration with CRM for complete member interaction history.
Data Quality & Governance System:
Automated data validation framework with anomaly detection, data lineage tracking, quality scoring, and comprehensive audit trails ensuring data accuracy for critical senior care decisions.
Data Processing & Storage:
Apache Kafka for real-time streaming, Apache Spark for data processing, PostgreSQL for structured data, MongoDB for unstructured data, Redis for caching and session management
Analytics & Visualization:
Apache Superset for self-service dashboards, Elasticsearch for search and analytics, Grafana for monitoring, custom React-based dashboard builder
Communication Integration:
WhatsApp Business API, Twilio for messaging backup, Socket.io for real-time updates, natural language processing for message analysis
Infrastructure & Deployment:
AWS ECS for containerized deployment, RDS for managed databases, S3 for data lake storage, CloudWatch for monitoring, Terraform for infrastructure as code
5K+ Senior Members Served:
Successfully integrated data for over 5,000 active aging members across all Marzi services, providing comprehensive insights into health outcomes, engagement patterns, and service utilization.
100% Real-Time Data Synchronization:
Achieved seamless real-time integration across all data sources including CRM, mobile app, WhatsApp communications, health monitoring devices, and service booking systems.
80% Faster Data-Driven Decisions:
Self-service analytics platform reduced time to insights from weeks to hours, enabling rapid optimization of member care programs, resource allocation, and service delivery.
Enhanced Member Experience:
Real-time WhatsApp integration and unified member profiles resulted in 90% faster response times and more personalized care coordination for active aging services.
"Rupantar's Forward-Deployed Engineers transformed how we understand and serve our senior members. The unified data platform they built gives us real-time insights across all touchpointsβ€”from WhatsApp conversations to health monitoring and travel bookings. The self-service capabilities mean our team can now create custom reports and dashboards without waiting for technical support. This data-driven approach has been instrumental in scaling our active aging services and delivering personalized care to thousands of seniors across India."

Partnership Impact:

  • Duration: 5-month comprehensive data platform development and integration
  • Team Integration: Embedded with operations team, deep understanding of senior care workflows and data requirements
  • Delivery Model: Self-service platform empowering non-technical teams with data independence and rapid insights
  • Post-Launch: Ongoing support for scaling across new service offerings and expanding member base
Senior Care Data Platform and Analytics

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