Case Study: Global Investment Firm boosts data processing performance with SoftServe and AWS

AWS Performance Data Mangement Optimization for Global Investment Firm

Global Investment Firm, a leading US-based financial services investor, needed a faster and more scalable way to refresh large volumes of transactional data for portfolio reporting and analysis. Their proprietary transaction system could not support timely reporting, and the twice-daily data refresh process was slowing performance across global trading operations. SoftServe helped assess the existing AWS environment and identify key bottlenecks, including a fully sequential workflow, limited parallel processing, and no failover strategy.

SoftServe implemented a customized AWS-based solution using Amazon Redshift Spectrum, AWS S3, AWS Lambda, Glue Data Catalog, and CloudFormation. The new architecture introduced schema-on-read tables, workflow orchestration, and compacted file processing to speed up data movement and reporting. As a result, the Global Investment Firm achieved a 50% reduction in data processing execution time, along with a more modern, straightforward deployment process and improved data quality recommendations from SoftServe.