Case Study: Texas Mutual cuts ELT tool costs 50%+ and speeds processing 18-20% with Coalesce
Key results
The challenge
Texas Mutual is the leading provider of workers' compensation insurance in Texas, with more than 1,000 employees and millions of dollars flowing through premiums, dividends, and commissions each year. Six years into a modernization effort, it had moved key workloads to Snowflake but was still constrained by a legacy ELT tool that created performance, maintenance, and scalability issues.
The solution
The data engineering team adopted Coalesce Transform as a Snowflake-centric transformation environment, migrating all code and decommissioning on-premises servers to fit how a lean engineering team works.
The results, in context
Texas Mutual reduced ELT tool costs by more than 50% by eliminating licensing fees and decommissioning on-premises servers, and improved data processing speeds by 18-20% as nightly processing time fell. The migration cutover was completed with zero downtime for downstream users.