Case Study: Global Data Provider achieves 96% reduction in data quality issue resolution time and millions in savings with Acceldata

96% Reduction in Data Quality Issue Resolution Time and Improved Data Operations Result in Millions of Dollars in Savings for Global Data Provider

Global Data Provider, a global leader in commercial data and analytics managing 600M+ businesses across 240+ markets and petabyte-scale datasets, faced siloed and inconsistent data quality checks, slow developer-dependent rule execution, scaling and cost constraints, and reactive issue detection that risked customer churn and compliance. To address this, they engaged Acceldata and adopted Acceldata’s data observability platform and rules framework to bring end-to-end visibility and standardized quality controls across their pipelines.

Acceldata implemented multi-layer observability, a reusable rules library, automated remediation/self-healing, and AI-driven operations to validate and cleanse data before it entered the supply chain. The results include a 96% reduction in data quality issue MTTR (from 15–45 days to 2–4 hours), 75x faster data processing (22 days to 7 hours), 30PB+ of data checked monthly (6x increase), 20x faster rule onboarding and 600+ custom policies deployed on 500+ billion rows in six months—delivering millions of dollars in savings, lower churn risk, and improved compliance and engineering morale.