Case Study: Impira achieves faster, reliable data issue resolution with Bigeye

Impira uses Bigeye as the safety net for its dynamic go-to-market strategy — ensuring that the team can move fast with reliable data

Impira, a venture-backed startup that helps companies extract and unify data from unstructured documents, needed a reliable way to monitor its customer journey analytics as it moved fast and made critical go-to-market decisions. Before Bigeye, the team relied on manual spot checks, which slowed decision-making and created firefighting moments for data engineering when issues went undetected.

Bigeye implemented automated monitoring using built-in metrics for freshness, duplicates, and cardinality, along with Autothresholds to dynamically set alert thresholds and provide 24/7 monitoring. As a result, Impira cut data issue resolution time by 75%, eliminated hundreds of manual checks, and gave its team confidence to act quickly on fresh, reliable data.

Impira

Ankur Goyal

Chief Executive Officer