Case Study: Truecaller achieves automated data quality and observability with Validio

Truecaller adopts Validio for automated data quality

Truecaller, a leading caller identification and call blocking application with over 350 million users, previously relied on in-house solutions for data quality. Their challenge was to find a more scalable and robust tool to manage data across over 5000 data warehouse tables for advanced use cases like fraud monitoring. They chose to partner with Validio to enhance their data quality practices.

The solution implemented by Validio provided an automated AI-based data quality platform. It empowered Truecaller’s data teams with powerful machine learning models for proactive anomaly detection across a wide range of dimensions. The result was improved reliability of their data services, reinforcing their commitment to delivering trustworthy services to their vast user base and enabling their data teams to continue driving business value.

Truecaller

Anil Sharma

Vice President, Head of Data Science and Analytics