Abstract: Described herein are systems and methods for providing accurate assessments of existing fraud rules while controlling for various transaction risks. In some embodiments, transaction data may be obtained from a number of entities and may be segmented by applying various filters. Once segmented, each segment may be analyzed to obtain metrics for a target entity. A separate set of peers is dynamically determined for each segment. The metric values for the target entity may then be compared to the metric values for the peers in the peer set to assess the target entity's performance with respect to each segment. Based on a variance of the target entity from its peers, the system may identify the segment as an opportunity. A rule may then be generated automatically based on the identified segment. In some embodiments, the rule may be added to a rule file for automatic implementation by the target entity.

Abstract: Described herein are systems and methods for providing accurate assessments of existing fraud rules while controlling for various transaction risks. In some embodiments, transaction data may be obtained from a number of entities and may be segmented by applying various filters. Once segmented, each segment may be analyzed to obtain metrics for a target entity. A separate set of peers is dynamically determined for each segment. The metric values for the target entity may then be compared to the metric values for the peers in the peer set to assess the target entity's performance with respect to each segment. Based on a variance of the target entity from its peers, the system may identify the segment as an opportunity. A rule may then be generated automatically based on the identified segment. In some embodiments, the rule may be added to a rule file for automatic implementation by the target entity.