Case Study: Group 1001 scales data quality 10x with Soda
Key results
The challenge
Group 1001 is a technology-driven financial services company managing a diverse portfolio of insurance and annuity businesses. Before modernization, a small data team focused on manual validation and reconciliation — running early-morning checks just to confirm data was present. This reactive approach created bottlenecks that slowed analysis and reduced confidence in reports.
The solution
A five-person team built a modern data stack with Soda as the data quality layer, automating hundreds of quality checks and making data health visible and accessible across the organization. Analysts who once depended on engineers for validation can now monitor their own datasets independently.
“We were just checking for the basics so that we could actually run reports and inform the business when something was wrong.”
GXGu XieHead of Data Engineering, Group 1001
The results, in context
In less than a year, the five-person team automated hundreds of quality checks and boosted productivity 10x, delivering enterprise-scale reliability without an enterprise-scale team. Data quality became visible, automated, and accessible to everyone in the organization.