Improved business efficiency by 80%
Reduction in cost by means of Pay-per-use pricing and serverless architecture
Improved process efficiency by reducing delays in data processing, ETL jobs, and reporting
The client is the world’s leading supplier of two-piece can and end-making machinery for the global can-making industry. They supply individual machines, and provide design, installation and support for complete can and end lines for beverage and food cans.
The client’s business team relied on ad-hoc reports to make business decisions. They needed an enterprise-scale data analytics and BI reporting platform.
Quantiphi designed and implemented the AWS Lake House architecture with best practices. Collecting and segregating data at different levels and end-to-end BI platform development enables better insights into their factory performance.