Case Study: a global financial services provider reduces production issues with Live Earth

Global financial services provider is experiencing issues with their code releases that aren’t identified until in production

Global financial services provider was struggling to catch code release bugs only after they reached production, affecting website, customer statements, and points software. The resulting customer issues drove negative social sentiment and more call center complaints, but the root cause was hard to identify and required cumbersome manual investigation and 24-hour bridge calls.

Live Earth addressed this with an automated controls approach that pulled together siloed data from call center, print, and third-party sources like Twitter, then used predictive analytics and machine learning to spot anomalies, identify likely release-related root causes, and anticipate future problem areas. The platform helped the company reduce manual effort and headcount while improving control over operational issues, though no specific numeric performance results were provided.