Case Study: ADP achieves scalable enterprise-wide data quality with Anomalo

ADP scales data quality to 16,000+ daily checks with Anomalo

ADP, a global provider of cloud-based human capital management solutions, struggled with a manual, rules-based data quality process that was inefficient and could not scale with their growing data volume and variety. This prompted them to partner with vendor Anomalo to find a more intelligent and automated solution for data quality management.

By implementing Anomalo's automated data quality platform, ADP integrated machine learning-powered checks with their Databricks environment. This solution enabled them to scale from 700 manual checks to over 16,000 daily automated validations. The results included a significant increase in efficiency, reducing the time spent on data quality issues from 70% to 30%, and empowering data stewards with federated governance to build trust in their data.

ADP