
In today’s data-driven business landscape, anomaly detection for CRM (Customer Relationship Management) data is gaining increasing importance. With the increasing complexity and volume of data, it becomes crucial to monitor any unusual behavior in production data and proactively identify the root causes. This article explores various techniques and models for anomaly detection in CRM data, enabling organizations to gain valuable









