Case Study: a Fortune 500 financial services company achieves standardized data observability and better data quality with Tiger Analytics

Fortune 500 Financial Services company reduces MTTD and MTTR with Tiger Analytics

The client, a Fortune 500 financial services company, faced challenges with data quality, inconsistencies in its credit scores, and gaps in monitoring its cloud data fabric. Tiger Analytics was engaged to help the company standardize data observability and build a platform to unearth insights on data downtime and broken pipelines.

Tiger Analytics implemented an Observability as a Service framework, featuring easy application onboarding and self-service UI interfaces for configuring alerts. The solution significantly improved data quality and reduced both Mean Time to Discovery (MTTD) and Mean Time to Repair (MTTR) through advanced self-service root-cause analysis.