Visa International Service Association

Christopher DeMartini

Lawson Lau

Guangyu Wang

Debesh Kumar

Nirmal Kumar Baid

Mayrose Kragas

Ratinder Bedi

Michael Tsung

Paul Rollings

Zhe Zhang

Provided is a method for selectively displaying information regarding activity in a geographic area. The method may include receiving data regarding a plurality of card-present payment transactions that have been conducted in the geographic area during a time interval, determining a plurality of segments of the geographic area, assigning each of the transactions to the segment in which the transaction was conducted, determining aggregate transaction data for each of the segments based on data regarding the transactions that have been assigned to that segment; generating a transaction index for each segment based on a comparison of the aggregate transaction data of that segment with aggregate transaction data of at least one different segment and/or least one predetermined metric, and generating a visual representation comprising data regarding the transaction index of at least one of the segments. A system and computer program product are also provided.

System, method, and computer program product for selectively displaying information regarding activity in a geographic area

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.

Segmented data analysis using dynamic peer groupings and automated rule implementation platform

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San Carlos, CA, United States of America

Christopher DeMartini