challenge.

A leading global manufacturer of business jets encountered significant challenges with their aircraft health monitoring and diagnostic system. The initial implementation, managed by an offshore tech company, resulted in inadequate performance and system instability due to inefficient data ingestion and storage processes. The existing relational database struggled with the vast amounts of data, leading to serious performance issues and operational inefficiencies. 

After 2 years of passable delivery and severe scalability issues, the client turned to Randstad Digital and inherited the responsibilities for the backend and frontend systems of the client-facing SmartLink Plus program and to help facilitate migration to a new data warehouse platform, Snowflake.

our approach.

Randstad Digital conducted a thorough assessment of the existing data system, designed a tailored data warehousing solution, worked closely with stakeholders for successful integration, and provided ongoing support and training for the manufacturer's needs.

  • Data Warehousing with Snowflake: Transitioned from a rudimentary relational database to a robust data warehousing platform, Snowflake, allowing for centralized storage of both structured and semi-structured data.
  • Enhanced Data Processing: Moved data processing from slow ETL processes directly into Snowflake, significantly improving efficiency and performance.

Software Development Lifecycle Improvements:

  • Automated CI/CD pipeline, reducing deployment time.
  • Automated testing, enhancing software robustness and quality.
  • Implemented isolated cloud environments for development, testing, and production to ensure stability.
  • Matured code repositories, improving version control and collaboration.

snowflake-enhanced data management yields significant improvements.

Randstad Digital implemented a comprehensive solution that created a scalable and centralized repository for storing vast amounts of aircraft health data. This solution enhanced data accessibility and management, improved data-sharing capabilities, ensured system scalability, enhanced data security and compliance, and optimized costs, leading to significant performance improvements and operational efficiencies.

Results:

  • 200% increase in data handling: Creation of a scalable and centralized repository for storing vast amounts of aircraft health data, enhancing accessibility and management, and supporting a 200% increase in data volume.
  • increased data management capacity by 300%: Snowflake's architecture ensured that the system could handle the growing volume of aircraft data without compromising performance, supporting a 300% increase in data load capacity.
  • reduced incidents by 40%: Enhanced security features ensured compliance with aviation industry regulations and data protection standards, safeguarding sensitive aircraft data and reducing security incidents by 40%.
  • 20% reduction in data management cost: The pay-as-you-go pricing model optimized costs, ensuring that the manufacturer only paid for the resources consumed, making it a cost-effective solution and resulting in a 20% reduction in overall data management costs.
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