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Client’s Business Goals

This client uses multiple systems but lacks a 360-degree view of their business due to a lack of system integration and visibility into their data. As a result, business users do not have the necessary evidence to make informed decisions, such as promotions on specific routes during certain festivals, marketing strategies, ROI on marketing expenses, competitive pricing compared to others, and more. SPEC INDIA assisted in implementing a Business Intelligence platform to analyze the data and enable data-driven decisions based on it.

Key Challenges of Travel Data Analytics Solution

Extracting meaningful data from all the third-party systems presents a significant challenge, as most are reluctant to share data directly and instead provide REST API services. Additionally, the client employs the Freshdesk application (similar to Zendesk, Zoho Desk, Intercom, LiveAgent, etc.) for customer support.

One of the key challenges lies in calculating custom SLAs for agents based on precisely defined business logic. Furthermore, extracting data from the API (Application Programming Interface) always poses challenges due to API limitations, such as the number of requests per hour, and so forth.

These are the primary challenges that persist when working with APIs. Achieving data integration with all these systems while maintaining data integrity is a pivotal aspect of any Business Intelligence (BI) report.

Our Approach/Solution

SPEC INDIA comprehended the requirements and delivered a comprehensive Travel Data Analytics solution that enabled the client to effectively extract data from various systems and present it visually through Power BI reports. This empowered business users to take informed actions and formulate their strategies. Here, is the high-level solution provided by us.

Extract data from the source system and store it in a Data Lake, which serves as a centralized repository for all data, utilizing an ETL (Extract, Transform, Load) process.

Retrieve third-party data by making REST API calls and transfer it to the Data Lake through an ETL process.

Consolidate the data stored in the Data Lake into a Data Warehouse, structuring it into Dimensions and Facts using an ETL process. This also involves creating an abstract layer for Power BI users.

Build Power BI Report such as: Sales , Refund & GMV Report, Margin Report, Airline Analysis Report, Route and o Customer Analysis, Agent Productivity Report , Invoice Aging and Collection Report and Deal Utilization Report.

Project Screens for Data Analytics in Travel Industry


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Tools & Technologies Used for Travel Data Analytics

Power BI

Our Process


Our detailed and accurate research, analysis, and refinement leads to a comprehensive study that describes the requirements, functions, and roles in a transparent manner.


We have a team of creative design experts who are apt at producing sleek designs of the system components with modernized layouts.


Our programmers are well versed with latest programming languages, tools, and techniques to effectively interpret the analysis and design into code.


Quality is at the helm of our projects. We leave no stone unturned in ensuring superior excellence and assurance in all our solutions and services.


We have well-defined, robust, and secure launch criteria that offer us a successful implementation clubbed with detailed testing, customer acceptance, and satisfaction.

Business Benefits of Corporate Travel Data Analytics Solution

The Travel Data Analytics Solution has resulted in substantial revenue growth. Businesses can make data-driven decisions that impact pricing strategies, promotional activities, and sales tactics. Moreover, enhanced customer experiences, driven by insights from the solution, have led to improved customer retention rates and a growing base of loyal clients.

Cost-effective and highly optimized reports with rich graphical displays.

Simplified data analysis and exploration for ease of use.

Enhanced insights to support optimal business decision-making through year-over-year data-driven visualizations. The graphical representation makes it easy to visualize year-over-year business growth.

Centralized data in one location, allowing other key users, such as data scientists and technical business users, to easily conduct their own analyses.

GMV (Gross Merchandise Value) is prominently displayed alongside COGS and other financial metrics, enabling the finance team to conduct their own analyses.

Agent productivity metrics are provided for operational users to track agent performance and resolution times for customer support tickets.

The deal utilization report to enable the Airline team to monitor how deals have been utilized to maximize benefits from the airline.

Customized SLA calculations aligning with the defined business processes assist the operations team in setting goals to foster strong customer relationships.

Refund analyses help the business team to understand customer and market behavior.


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