Case Study: SimpleRose saves $100k a year in operations with Bigeye
Key results
The challenge
SimpleRose, which builds mathematical optimization software, relied on manually writing and maintaining an ever-expanding list of pipeline tests to keep its analytics reliable. That approach consumed significant engineering time as data volumes grew.
The solution
SimpleRose adopted Bigeye to automate data pipeline monitoring and data quality checks, reducing the manual effort of writing and maintaining tests while broadening coverage.
“If maintaining accurate data is critical to your business, you absolutely must have a solution like Bigeye to ensure data quality and build trust across your organization and customer base.”
NHNick HeidkePrincipal Data Architect, SimpleRose
The results, in context
Bigeye reduced the time SimpleRose spent on data pipeline monitoring by 50% while increasing pipeline and data quality monitoring coverage by over 90%, factoring out to over $100,000 in operational savings per year.