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Development of a Scalable Analytics Platform for Travel Industry Client
  1. case
  2. Development of a Scalable Analytics Platform for Travel Industry Client

Development of a Scalable Analytics Platform for Travel Industry Client

elinext.com
Travel
Information technology

Challenges Faced by Travel Service Providers in Data and Customer Management

The client experienced difficulty aggregating data across multiple channels, resulting in inconsistent insights, inefficient decision-making, and limited personalization capabilities, ultimately impacting customer satisfaction and operational efficiency.

About the Client

A mid to large-sized travel service provider seeking to enhance its data analytics and customer engagement capabilities.

Core Goals for Developing the Travel Data Analytics and Engagement Platform

  • Implement a centralized internal analytics dashboard for comprehensive data visualization.
  • Enhance data integration from various sources to ensure consistent and real-time insights.
  • Enable personalized customer engagement through targeted campaigns based on consolidated data.
  • Improve operational decision-making efficiency to drive increased customer satisfaction and revenue growth.

Key Functionalities for the Travel Analytics and Engagement Platform

  • Consolidated data aggregation from booking systems, CRM, and third-party feeds.
  • Real-time data processing and visualization dashboards for operational insights.
  • Customer segmentation and targeting tools for personalized marketing campaigns.
  • Automated campaign management with performance tracking and analytics.
  • Secure user authentication and role-based access control.

Preferred Technologies and Architectural Approaches

Modern data visualization frameworks (e.g., Tableau, Power BI)
Cloud-based infrastructure (e.g., AWS, Azure)
Data integration and ETL tools
Microservices architecture for scalability

Necessary External and Internal System Integrations

  • Booking systems and CRM platforms for data synchronization
  • Third-party data providers for additional insights
  • Email marketing tools for campaign deployment
  • Authentication systems for secure access

Critical Non-Functional System Design Considerations

  • System scalability to handle increasing data volume beyond 10 million records per day
  • High availability with 99.9% uptime commitments
  • Data security standards complying with industry regulations
  • System performance ensuring dashboard load times under 2 seconds for end-users

Projected Business Impact of the Analytics Platform

The platform aims to significantly improve data-driven decision-making, enhance personalized customer engagement, and increase revenue streams, with an expected 20% reduction in operational inefficiencies and a 15% uplift in customer retention within the first year of deployment.

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