Case Study: Mayan reduces data merge time by 60% with Bigeye

Mayan cuts data merge time by 60% with Bigeye

Mayan, a provider of analytics dashboards for Amazon sellers, faced significant challenges in their data pipeline CI/CD process. Their small data engineering team struggled with frequent bugs in dbt jobs and a slow, manual debugging process that eroded confidence in their data model testing. This led to data merges taking an average of four to five days to complete. They partnered with Bigeye and its data observability platform to bring reliability to their pipelines and provide self-serve analytics at scale.

By implementing Bigeye's blue-green deployment tests, Mayan gained the ability to instantly compare staging and production tables to validate ELT jobs. The solution provided immediate identification of any failure points, eliminating the need for manual debugging. As a result, Bigeye helped Mayan achieve a 60% reduction in their average time to merge data, cutting it from 4-5 days down to just one day. This dramatically increased data analyst productivity and freed up the engineering team to focus on high-value projects.

Mayan