Unified Travel Analytics Platform
Implementation
Migrating Global Travel Analytics from Power BI to a Scalable Platform
A global travel organization transformed its analytics ecosystem by migrating from Power BI to a scalable, centralized platform, enabling faster insights, improved accessibility, and consistent reporting across regions.
The Challenge
From Fragmented Data to Global Intelligence
The organization faced critical bottlenecks that hindered data-driven
decision making across its global operations.
Single BI Tool Dependency
Heavy reliance on Power BI created vendor lock-in risks and limited flexibility for evolving analytics needs.
→Single point of failure
Data Loading Delays
Performance bottlenecks caused significant delays in data loading and report generation across regions.
→Hours of downtime weekly
Limited Global Scalability
The existing architecture couldn’t scale efficiently to support distributed teams across multiple geographies.
→Regional data silos
Restricted User Access
Licensing constraints and infrastructure limitations prevented distributed users from accessing critical reports.
→Low adoption rates
Manual Data Preparation
Manual data preparation from multiple sources consumed significant analyst time and introduced human error.
→12+ hours lost weekly
Reporting Inconsistencies
Lack of standardized data models led to discrepancies across reports, eroding trust in analytics outputs.
→Decision-making delays
Data Sources:
The Solution
Architecture & Transformation
A phased migration approach ensuring zero disruption to ongoing operations while systematically rebuilding the analytics foundation.
Report & Data Model Migration
Systematic migration of Power BI reports and underlying data models to the Domo platform, ensuring feature parity and structural integrity.
Power BI → Domo
Dataset & ETL Pipeline Rebuild
Complete reconstruction of datasets and ETL pipelines optimized for Domo's architecture, leveraging Magic ETL for data transformation and standardization.
Magic ETL
Automated Data Ingestion
Implementation of automated data ingestion workflows from multiple source systems including TMS, Excel, and legacy report extracts.
Multi-source automation
Data Validation & Parity
Rigorous validation processes cross-referencing new outputs against legacy reports. Validated against 4.2M historical records to ensure 99.9% parity.
4.2M records validated
Unified Data Model
Creation of a unified, normalized data model enabling consistent global travel analytics across all regions and business units.
Global standardization
Interactive Dashboard Delivery
Deployment of interactive dashboards with improved usability, performance, and self-service capabilities for distributed teams.
Self-service analytics
Business Impact
Measurable Transformation
Quantifiable outcomes delivered through systematic platform
migration and optimization.
70–80%
Reduction in Manual Data Preparation
60%
Faster Report Refresh Time
99%+
Data Accuracy After Validation
75%
Improvement in Global Reporting Accessibility
Technology Stack
Tools & Technologies
Domo
Magic ETL, Reporting
Power BI
Legacy Platform
SQL
Data Queries
Python
Automation Scripts
Excel
Source Data
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