Case Study: GovPredict achieves faster data-quality diagnosis and improved data consistency with Datadog

How GovPredict monitors data quality issues with Datadog

GovPredict provides policy and political data to enterprise and government clients, aggregating over 50 data types from thousands of sources via APIs, scraping, streaming, and more. This complexity, combined with a manual, developer-intensive monitoring stack, made ensuring consistent data quality and fast issue diagnosis difficult and diverted engineering resources from core product work.

After adopting Datadog, GovPredict integrated monitoring across systems within a week and built dashboards that overlay import successes and failures by source and data type, cutting diagnosis time from hours to minutes. The team reduced undetected errors and improved data consistency, used Datadog to optimize production apps and databases, and benchmarked a new system analyzing 10,000+ sources—making performance fixes early and scaling confidently.

GovPredict

Neal Kemp

CTO