Prioritizing data clusters with customizable scoring strategies

A computer-implemented method for prioritizing a plurality of data entity clusters, the method comprising:ncommunicating with one or more electronic data stores storing a plurality of data entities and respective data entity attributes, the one or more electronic data stores in communication with one or more hardware computer processors, the one or more hardware computer processors configured with specific computer executable instructions, and the plurality of data entities related to financial data and including at least one of:nan account data entity,a transaction data entity,a customer data entity, ora phone number data entity;generating, by the one or more hardware computer processors, a plurality of data entity clusters that each store a collection of related data entities, each of the data entity clusters generated by:nidentifying and adding a seed data entity to the data entity cluster; anddetermining and adding to the data entity cluster, based on a cluster strategy configured to identify related data entities for detection of possible fraudulent financial activity, one or more additional data entities related to the seed data entity;identifying, by the one or more hardware computer processors, a scoring strategy for prioritizing the plurality of data entity clusters;for each data entity cluster:nevaluating, by the one or more hardware computer processors and based on the scoring strategy, the data entity cluster; andassigning, by the one or more hardware computer processors and based on the evaluation, a score to the data entity cluster; andranking the plurality of data entity clusters according to the respective assigned scores,wherein the plurality of ranked data entity clusters are useable by an analyst to determine various data entities related to each other and to possible fraudulent financial activity.

A non-transitory computer-readable storage medium storing computer-executable instructions that, when executed by a computer system, configure the computer system to perform operations comprising:ncommunicating with one or more electronic data stores storing a plurality of data entities and respective data entity attributes, the plurality of data entities related to financial data and including at least one of:nan account data entity,a transaction data entity,a customer data entity, ora phone number data entity;generating a plurality of data entity clusters that each store a collection of related data entities, each of the data entity clusters generated by:nidentifying and adding a seed data entity to the data entity cluster; anddetermining and adding to the data entity cluster, based on a cluster strategy configured to identify related data entities for detection of possible fraudulent financial activity, one or more additional data entities related to the seed data entity;identifying a scoring strategy for prioritizing the plurality of data entity clusters;for each data entity cluster:nevaluating, based on the scoring strategy, the data entity cluster; andassigning, based on the evaluation, a score to the data entity cluster; andranking the plurality of data entity clusters according to the respective assigned scores,wherein the plurality of ranked data entity clusters are useable by an analyst to determine various data entities related to each other and to possible fraudulent financial activity.

A computer system comprising:none or more non-transitory computer readable storage devices configured to store one or more software programs; andone or more hardware computer processors in communication with the one or more non-transitory computer readable storage devices and configured to execute the one or more software programs in order to cause the computer system to:ncommunicate with one or more electronic data stores storing a plurality of data entities and respective data entity attributes, the plurality of data entities related to financial data and including at least one of:nan account data entity,a transaction data entity,a customer data entity, ora phone number data entity;generate, by the one or more hardware computer processors, a plurality of data entity clusters that each store a collection of related data entities, each of the data entity clusters generated by:nidentifying and adding a seed data entity to the data entity cluster; anddetermining and adding to the data entity cluster, based on a cluster strategy configured to identify related data entities for detection of possible fraudulent financial activity, one or more additional data entities related to the seed data entity;identify, by the one or more hardware computer processors, a scoring strategy for prioritizing the plurality of data entity clusters;for each data entity cluster:nevaluate, by the one or more hardware computer processors and based on the scoring strategy, the data entity cluster; andassign, by the one or more hardware computer processors and based on the evaluation, a score to the data entity cluster; andrank the plurality of data entity clusters according to the respective assigned scores,wherein the plurality of ranked data entity clusters are useable by an analyst to determine various data entities related to each other and to possible fraudulent financial activity.