Prioritizing data clusters with customizable scoring strategies

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:

• communicating 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:
• an account data entity,
• a transaction data entity,
• a customer data entity, or
• a 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:
• identifying and adding a seed data entity to the data entity cluster;
• and
• determining 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:
• evaluating, based on the scoring strategy, the data entity cluster;
• and
• assigning, based on the evaluation, a score to the data entity cluster;
• and
• ranking 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:

• one or more non-transitory computer readable storage devices configured to store one or more software programs;
• and
• one 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:
• communicate 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:
• an account data entity,
• a transaction data entity,
• a customer data entity, or
• a 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:
• identifying and adding a seed data entity to the data entity cluster;
• and
• determining 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:
• evaluate, by the one or more hardware computer processors and based on the scoring strategy, the data entity cluster;
• and
• assign, by the one or more hardware computer processors and based on the evaluation, a score to the data entity cluster;
• and
• rank 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.