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

Development of a Scalable Internal Analytics Dashboard for Travel Industry Client

elinext.com
Travel

Identified Challenges in Data Management and Operational Visibility

The client faced difficulties in aggregating and visualizing travel-related data from multiple sources, leading to limited real-time insights and slowed decision-making processes across their operations.

About the Client

A medium-sized travel company aiming to enhance data-driven decision-making and operational efficiency.

Goals for Enhancing Data Analytics and Operational Efficiency

  • Develop an internal analytics dashboard that consolidates travel data from various sources.
  • Enable real-time reporting and visualization to improve decision-making speed.
  • Improve scalability to accommodate increasing data volume and user load.
  • Enhance data security and user access control to ensure compliance and data integrity.

Core System Functionalities for Data Consolidation and Visualization

  • Data aggregation engine to compile information from multiple internal and external sources.
  • Customizable dashboards for different user roles to visualize key metrics and trends.
  • Real-time data refresh capabilities to support timely decision-making.
  • Role-based access controls to restrict and manage user permissions securely.
  • Interactive charts and filters for in-depth data analysis.
  • Automated reporting tools for scheduled insights delivery.

Preferred Technologies and Architectural Approaches

Modern web development frameworks (e.g., React, Angular, or Vue.js).
Backend services built with scalable frameworks (e.g., Node.js, .NET).
Data warehousing solutions for efficient data management.
Real-time data processing platforms (e.g., Kafka, WebSockets).
Cloud infrastructure for scalability and security.

Necessary External System Integrations

  • Data sources from internal travel management systems.
  • External APIs for real-time data feeds (e.g., airline, hotel booking systems).
  • Authentication and identity management systems.
  • Reporting and notification tools.

Key Non-Functional Requirements and Performance Metrics

  • System must support at least 500 concurrent users.
  • Dashboard data refresh interval should not exceed 60 seconds.
  • Data security compliance aligned with industry standards (e.g., GDPR, ISO 27001).
  • System uptime reliability of at least 99.9%.
  • Response time for user interactions should be under 2 seconds.

Projected Business Impact and Value of the Analytics Platform

The implementation of the internal analytics dashboard is expected to significantly improve decision-making agility, reduce data processing time, and increase operational visibility, leading to an estimated 25% faster response to market changes and an overall increase in operational efficiency for the client.

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