Amazon Seller AnalyticsSourced
Case Study: Mayan cuts time to merge data model changes by 60% with Bigeye
Mayan Case StudySourced & dated by Case Study Desk
Key results
The challenge
Mayan, which delivers analytics and self-service business intelligence to Amazon sellers, needed to validate changes to its data models before merging them. The average time to merge updates into a data model was four to five days.
The solution
Mayan used Bigeye for data model testing and validation, adding automated checks that ensure merge requests pass the first time and providing artifacts on each merge request.
“Bigeye has helped us cut the time to merge by 60% while also providing artifacts on each of our merge requests.”
LNLoc NguyenData Engineer, Mayan
The results, in context
Bigeye reduced the average time to merge updates into a data model from four to five days down to one, a 60% reduction. Faster merges freed the data engineering team to focus on higher-value work.
Products used
Bigeye Bigeye Data Observability