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Development of a Custom Internal Analytics Dashboard for Travel and Hospitality Industry Client
  1. case
  2. Development of a Custom Internal Analytics Dashboard for Travel and Hospitality Industry Client

Development of a Custom Internal Analytics Dashboard for Travel and Hospitality Industry Client

elinext.com
Travel & Hospitality

Challenges Faced by Travel & Hospitality Businesses in Data Management and Decision-Making

The client experienced difficulties in consolidating and analyzing large volumes of operational data across multiple channels, leading to limited insights, delayed decision-making, and inefficiencies in resource allocation, ultimately impacting customer experience and profitability.

About the Client

A mid-sized travel and hospitality company seeking to enhance data visibility and operational efficiency through customized analytics solutions.

Goals and Expected Benefits of the Analytics Dashboard Implementation

  • Develop a scalable internal analytics dashboard to provide real-time insights into operational metrics.
  • Streamline data collection and visualization processes to facilitate faster decision-making.
  • Improve visibility into key performance indicators related to customer engagement, booking trends, and resource utilization.
  • Achieve at least a 25% reduction in reporting time and a measurable increase in operational efficiency within the first six months post-deployment.

Core Functional Capabilities of the Analytics Platform

  • Data aggregation engine capable of pulling data from multiple sources including booking systems, customer feedback, and operational logs.
  • Real-time data processing and updating to reflect current business metrics.
  • Customizable dashboards with drag-and-drop widgets for different KPIs.
  • Advanced filtering and segmentation options for detailed analysis.
  • Automated report generation and scheduled data exports.
  • Secure user authentication with role-based access controls to ensure data privacy.
  • Mobile-responsive interface for access on various devices.

Technology Preferences and Architectural Approach

Web-based application built with modern frameworks such as React or Angular.
Backend data processing using scalable server-side technologies like Node.js or Python.
Real-time data handling facilitated by WebSocket or MQTT protocols.
Cloud deployment using services such as AWS or Azure for scalability and reliability.

External System and Data Source Integrations

  • Booking and reservation management systems.
  • Customer relationship management (CRM) platforms.
  • Operational log databases.
  • Business intelligence and reporting tools for enhanced analytics.

Performance, Security, and Scalability Standards

  • System should support concurrent users up to 500 without performance degradation.
  • Dashboard data refresh rate should be less than 30 seconds for real-time insights.
  • Data security protocols must comply with industry standards (e.g., GDPR, ISO 27001).
  • System availability target of 99.9% uptime.

Projected Business Outcomes from the Analytics Dashboard Initiative

Implementation of the internal analytics dashboard is expected to reduce reporting time by at least 25%, enhance operational decision-making efficiency, and improve overall customer satisfaction metrics, contributing to increased profitability and competitive advantage within the travel and hospitality sector.

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