Case Study: Group 1001 boosts productivity 10X with Fivetran

Group 1001 increases productivity by 10X

Group 1001, a North America-based financial services and insurance company managing more than $60 billion across multiple brands, needed a better way to unify data and improve business visibility. Its legacy ETL stack made it difficult to see assets across companies, product lines, and customers, and slow, unreliable data processing created incomplete and inaccurate reporting. The team turned to Fivetran, alongside Snowflake and Coalesce, to modernize its data stack and support a data-driven culture.

With Fivetran, Group 1001 automated data ingestion from sources such as PostgreSQL, S3, Google Analytics, Salesforce, Zendesk, and more, loading nearly 4,000 table feeds per day into Snowflake. The result was a 10x increase in data engineering productivity, a reduction in time to insight from three months to two days, and 1000% more productive use of engineering time. Fivetran helped Group 1001 replace manual firefighting with faster, more accurate analytics and more efficient business decision-making.

Group 1001

Gu Xie

Head of Data Engineering