Data Warehouse Solutions for A Global Aviation Company
About Client
A global aviation company operates both commercial and cargo planes around the world. The company manages flight operations, logistics, maintenance, crew scheduling, and customer service. They have decided to implement a centralized data solution for operational efficiency, and safety and to give better experiences to their millions of customers.
Problem Statement
The client highlighted key pain points:
- We are unable to get the unified view of our operations as our data is scattered across flight operations, maintenance, crew management, and customer service.
- We find it difficult to manage delays and disruptions proactively due to lack of real-time insights.
- Our reporting is manual, slow, and limited. We need better insights into route optimization, fuel consumption, and maintenance schedules.
- Our data systems can't scale with our growing fleet and expansion plans. We need a future-proof, scalable solution.
- We need Compliance with FAA and EASA regulations and also need auditable, accurate, and accessible data for inspections and safety checks.
Objectives
- Bring together the cluttered and fragmented data into a centralized platform.
- Enable real-time tracking of flight operations and proactive decision-making.
- Automate compliance reporting for FAA and EASA standards.
- Enhance predictive analytics for maintenance and flight schedules.
- Ensure scalability for future fleet expansion and increased data volumes.
Solutions Offered
When the aviation company approached us with various challenges in compliance and performance, we assigned the best team and the best practices.
Tech Stack Used
- Snowflake
- Fivetran, Apache Kafka
- Collibra, Ataccama
- Databricks, Apache Spark
- Tableau, Power BI
- Apache Ranger, Azure Security Center
- AWS, Azure
Development Process
- Data from ERP, flight tracking, CRM, IoT devices, and crew scheduling systems were unified using Snowflake. Fivetran enabled automated data extraction and loading, while Apache Kafka supported real-time streaming for live flight, crew, and operational data.
- Databricks supported predictive models for flight delays and maintenance. Tableau and Power BI dashboards provided real-time insights on flight schedules, maintenance needs, and crew availability.
- Cloud-native Snowflake and AWS/Azure cloud infrastructure enabled the company to scale with increased data volumes, growing fleet size, and global operations.
- Apache Ranger and Azure Security Center enforced access controls, encryption, and secure handling of passenger and operational data.
- Tools like Collibra and Ataccama ensured accurate, traceable, and auditable data, supporting FAA and EASA compliance requirements.
- Automated ETL workflows using Fivetran, Kafka, and Talend ensured up-to-date data for timely insights
Outcomes
- 30% improvement in operational efficiency due to live dashboards for flight schedules, crew management, and maintenance tracking.
- 95% reduction in audit preparation time through automated, audit-ready reports, and data lineage tracking.
- 25% reduction in unscheduled aircraft maintenance, extending fleet uptime and reducing costs.
- 20% reduction in operational costs through optimized fuel usage, proactive crew management, and smarter route planning.
- 100% readiness for fleet expansion and increased data volume.
Conclusion
The Data Warehouse solution transformed the aviation company's operations, and the company improved efficiency, reduced costs, and enhanced the passenger experience.
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