Case Study: Afterpay Achieves Greater Data Trust with Anomalo

Afterpay Promoting Data Trust with Anomalo

Afterpay, the Australia-based buy now, pay later platform acquired by Block, needed a better way to build trust in its data and avoid bad data undermining analytics and decision-making. To address this, Afterpay turned to Anomalo for centralized data quality monitoring across its organization, helping both data engineers and data consumers share responsibility for data trust.

Using Anomalo’s no-code UI and API, Afterpay monitored validation rules, key metrics, and automated anomaly detection across all six of its data quality dimensions. The solution made checks and metrics transparent company-wide, integrated alerting and reporting into existing workflows, and helped Afterpay and Anomalo achieve measurable progress: within four months, they were able to resolve 30% of their data-related questions in a self-serve way.

Afterpay

Xinwei Jiang

Afterpay