Abstract: An illustrative method for identifying information associated with a ring of individuals performing improper financial activities may include combining a list of user identifiers with one or more attributes tables corresponding to the financial transactions. A computer device may analyze a first list of identifiers in relation to an attribute table, where the identifiers may be associated with one or more suspected improper financial activities and the attribute table may include attributes of one or more financial transactions performed over a specified duration. The computer device may then link the first list of identifiers with one or more attributes included in the attribute table to determine a second list of identifiers and the process may be repeated until a stopping condition has been reached. After the stopping condition has been met, the computer device may communicate a report to a user.

Abstract: An illustrative method for identifying information associated with a ring of individuals performing improper financial activities may include combining a list of user identifiers with one or more attributes tables corresponding to the financial transactions. A computer device may analyze a first list of identifiers in relation to an attribute table, where the identifiers may be associated with one or more suspected improper financial activities and the attribute table may include attributes of one or more financial transactions performed over a specified duration. The computer device may then link the first list of identifiers with one or more attributes included in the attribute table to determine a second list of identifiers and the process may be repeated until a stopping condition has been reached. After the stopping condition has been met, the computer device may communicate a report to a user.

Abstract: An illustrative method for identifying information associated with a ring of individuals performing improper financial activities may include combining a list of user identifiers with one or more attributes tables corresponding to the financial transactions. A computer device may analyze a first list of identifiers in relation to an attribute table, where the identifiers may be associated with one or more suspected improper financial activities and the attribute table may include attributes of one or more financial transactions performed over a specified duration. The computer device may then link the first list of identifiers with one or more attributes included in the attribute table to determine a second list of identifiers and the process may be repeated until a stopping condition has been reached. After the stopping condition has been met, the computer device may communicate a report to a user.

Abstract: An illustrative method for identifying information associated with a ring of individuals performing improper financial activities may include combining a list of user identifiers with one or more attributes tables corresponding to the financial transactions. A computer device may analyze a first list of identifiers in relation to an attribute table, where the identifiers may be associated with one or more suspected improper financial activities and the attribute table may include attributes of one or more financial transactions performed over a specified duration. The computer device may then link the first list of identifiers with one or more attributes included in the attribute table to determine a second list of identifiers and the process may be repeated until a stopping condition has been reached. After the stopping condition has been met, the computer device may communicate a report to a user.

Abstract: Methods, systems, and computer-readable media for analyzing banking transactions are presented. Banking transaction data corresponding to a banking transaction may be collected. Identification data associated with the individual that performed the transaction as well as the account involved in the transaction may be obtained. The first identification data may be compared to the second identification data to determine whether the first identification data matches the second identification data. Banking transaction analysis data may be generated. The banking transaction analysis data may identify the banking transaction as a potential policy violation when the first identification data matches the second identification data.