Case Study: Impira resolves data issues 75% faster with Bigeye
Key results
The challenge
Impira, a venture-backed startup whose ML platform extracts data from unstructured documents, needed to keep data reliable while moving quickly. Investigating data issues previously took days of manual work, and hundreds of manual checks were required to maintain confidence in the data.
The solution
Impira adopted Bigeye as its data observability layer to automate monitoring and anomaly detection across its pipelines. Automated checks replaced manual investigation and surfaced issues earlier.
“We believe in embracing risk. When you are moving as fast as we are, you have to get over the idea that there is a world of zero outages. With Bigeye, those outages won't slow us down.”
AGAnkur GoyalCEO, Impira
The results, in context
Bigeye enabled 75% faster data issue resolution and eliminated hundreds of manual checks. The team was able to keep shipping quickly without letting data outages slow it down.