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Case Study: Udacity detects data issues 60% faster with Bigeye

Udacity Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Udacity
Industry
E-Learning
Challenge
Slow detection of data quality issues
Headline result
Udacity cut data issue detection time by 60%, from 3+ days to under 24 hours, across 1.6M+ monitored data points

Key results

60%
Reduction in issue detection time
3+ days to <24 hrs
Issue detection time
1.6M+
Data points monitored

The challenge

Udacity, an enterprise e-learning provider, had begun tracking data quality but detection of issues could take more than three days. The data engineering team needed a single place to understand whether data could be trusted.

The solution

Udacity deployed Bigeye to monitor its pipelines, automatically alerting the data engineering team when issues arose across more than 1.6 million monitored data points.

With Bigeye, I am confident that I have the ultimate answer as to whether the data is good or not.

SD
Simon Dong
Sr Manager, Data Engineering, Udacity

The results, in context

With Bigeye, Udacity reduced issue detection time by 60%, from more than three days to under 24 hours, while monitoring over 1.6 million data points.

Products used

Bigeye Bigeye Data Observability