Finding Duplicated Records Can Save You Millions

A global financial services firm uncovered and addressed a costly issue of data duplication in its pipelines, which was incurring over $1.5 million annually in hidden costs for compute and storage. With the help of Soda's low-code data quality platform, the organization identified and eliminated more than 1,000 duplicate tables, achieving immediate savings and enhancing trust in its analytics. The implementation of Soda took less than a day and transformed the firm's approach to data quality from reactive to preventive, ensuring real-time monitoring and long-term return on investment (ROI). This proactive strategy not only mitigated financial loss but also improved data reliability, compliance, and operational efficiency. As a result, the firm continues to expand its use of automated monitoring and explore new features to further optimize its data operations.