Engineering a smarter data foundation for improving aircraft engine inspection efficiency
A global commercial aircraft engine manufacturer partnered with HCLTech to transform their data analytics capabilities. Their goal was to build a scalable, multi-cloud platform that enables proactive insights into engine usage, serviceability and disposition of engine parts – driven by historical data and predictive intelligence.
Leveraging our decades of engineering experience and expertise, our team of experts delivered a comprehensive data analytics and visualization solution that empowers smarter decision-making across the engine lifecycle.
The Challenge
Our client faced critical data infrastructure challenges and proactively recognized scope for strategic enhancements:
- Lack of centralized data landscape: The lack of a dedicated data warehouse hindered effective reporting and analytics across various teams.
- Multi-cloud complexity: Operating across various cloud platforms (Microsoft Azure and AWS) introduced integration hurdles in synchronization and integration.
The Solution
Leveraging our deep expertise in digital platforms and product engineering, we developed a robust data analytics and visualization platform tailored to meet the client’s specific needs.
- Comprehensive environment assessment: We started by thoroughly examining the client’s existing data analytics and visualization setup, including their current design and the limitations of their infrastructure.
- Requirement gathering and analysis: We conducted detailed requirement gathering and analysis, documenting the functional and technical requirements for the new platform.
- Gap analysis and solution design: We performed a structured gap analysis to identify areas for improvement. Based on this we designed a comprehensive solution architecture.
- Cross-platform risk assessment: Assessing the complexities of a multi-cloud environment, we conducted a thorough risk assessment and implemented mitigation strategies to ensure seamless integration and operation.
- Prototype development: We crafted a functional prototype to demonstrate the proposed solution and key use cases, enabling the client to visualize the platform's capabilities.
- Multi-cloud enablement: We ensured seamless communication between application components across the multi-cloud environment, facilitating efficient data synchronization and utilization.
The Impact
The solution delivered measurable improvements in analytics efficiency and operational agility:
- Better predictive model to determine the damage in the aircraft engine parts based on past data-driven efficiencies
- Multi-cloud infrastructure to provide flexibility and leverage existing logic
- High availability and better user experience
By combining our decades of aerospace industry experience with deep engineering expertise, we helped the client unlock data-driven insights – laying a strong foundation for advanced data analytics capabilities, making aircraft engine inspections smarter, faster and more efficient.
