Development of a Custom Data Analytics Dashboard and Automated Reporting System for Travel Industry Client

The client faced difficulties in aggregating data from multiple sources into a unified system, leading to manual, error-prone reporting processes and limited insights into operational performance, customer patterns, and sales trends. This hindered timely decision-making and strategic planning.

A mid-sized travel services company aiming to enhance data visibility and automate reporting processes

• Develop a comprehensive, user-friendly internal analytics dashboard to provide real-time insights across various data sources.
• Automate the generation and distribution of regular operational reports to reduce manual effort and improve accuracy.
• Enable customization of dashboards and reports to meet different departmental needs.
• Ensure the system scales efficiently with increasing data volume and user base.
• Achieve measurable improvements in report accuracy and turnaround time.

• Integration layer to connect with various data sources such as CRM, booking engines, and financial systems
• Real-time data processing and updating for dynamic dashboards
• Interactive dashboards with customizable widgets and filters for different user roles
• Automated scheduling and distribution of reports via email or internal portals
• Role-based access control to secure sensitive information
• Data export options (CSV, PDF, Excel) for offline analysis

• CRM systems for customer data
• Booking engines and reservation platforms
• Financial and billing systems
• Marketing automation tools
• Email and notification services

• System must support at least 200 concurrent users
• Data processing latency should not exceed 2 seconds for real-time dashboards
• System availability of 99.9% uptime
• Compliance with relevant data security standards (e.g., GDPR, PCI DSS)
• Scalable architecture to handle data growth of at least 50% annually

The implementation of the analytics dashboard and reporting automation is expected to reduce manual reporting efforts by 40%, improve report accuracy, enable real-time data-driven decision-making, and support strategic growth initiatives, ultimately enhancing operational efficiency and customer insights.