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Visit WebsiteReliability at scale for highly-sensitive industries
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Jason Taylor
Head of Applied Innovation
Bigeye
Bigeye is the data reliability engineering platform that helps data teams build trust in data. Data teams use Bigeye to automate their data observability, detect anomalies, accelerate root cause analysis, and build trust in the data. Bigeye deploys in under 15 minutes and enables teams to continuously monitor over 50 data quality attributes, define custom monitoring, and proactively detect and resolve issues, all with a SOC2 compliant and low-impact platform that never copies or exports their data.
Case Studies
Showing 8 Bigeye Customer Success Stories
How Bigeye is helping Freedom Mortgage achieve their mission of helping veterans and low-income borrowers buy homes
Freedom Mortgage
Eric Chesebro
Executive Vice President of Data Governance
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
Ankur Goyal
Chief Executive Officer
How JustAnswer uses Bigeye to ensure optimal marketing results and drive customer acquisition and revenue performance for their business
JustAnswer
Volodymyr Perepelytsa
Senior Project Manager
Mayan uses Bigeye to validate data pipeline merges and deliver self-serve analytics dashboards at scale
Mayan
Loc Nguyen
Data Engineer
How the SimpleRose team uses Bigeye to deliver reliable data for large-scale data operations
SimpleRose
Nick Heidke
Principal Data Architect
With Bigeye, Udacity has one place to understand data quality and has reduced detection times from 3+ days to under 24 hours
Udacity
Simon Dong
Software Engineer
How Bigeye is helping Zoom achieve their vision of delivering trusted data products to business decision makers
Zoom
Tina Chang
Data Engineer
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