Anomaly detection presents a unique challenge for a variety of reasons. First and foremost, the financial services industry has seen an increase in the volume and complexity of data in recent years.

1. Ensuring Quality Datasets For Anomaly Detection Anomaly detection algorithms require a precise, consistent, valid and well-balanced dataset to effectively identify any inconsistencies.