Scoring Match Strategies

Match scoring computes the score for individual matches to provide an initial prioritization.

Scoring of matches can occur using any combination of the following strategies:

• Simple Lookup: Criteria can be established that increment a match’s score by a pre-defined value (when satisfied in match information). It supports adding multiple filters for a rule. For example, if the match focuses on high-risk entity and the entity has wire transactions of more than 100, increment the score by 25.
• Graduated Value: Criteria can be established that increment a score based on the value of a match’s attributes as compared to a graduated scale. Determination of the graduated scale establishes a minimum value, a minimum score, a maximum value, and a maximum score. The system determines the relative score for all values between the minimum and maximum values. It supports adding multiple filters for a rule.

  For example, if the number of transactions of a match is less than or equal to 10, increment the score by 20. If the number of transactions of a match is greater than or equal to 30, increment the score by 40. Where 5 or more of the transactions are wire transaction and the transaction amount is greater than USD 20,000.

  The system determines the appropriate score between 20 and 40 for any match which satisfies the rule but not the filter. if the match satisfies the filters then the score is increased by 40.

• Prior Matches: Criteria can be established that increment a match’s score based not on attributes of the match, but on the quantity of matches focused on the same entity as the match and generated by the same scenario or scenario class as the match. A look back period limits the strategy to count only matches generated in the last N days.

  For example, for each match on an entity and scenario AA within the last 10 days, increment the score by five (5).

  The Prior Matches scoring strategy also supports scoring in which the score of an alert increases by a greater amount when the number of occurrences nears or exceeds the minimum value, rather than the maximum value.

• Simple Scenario: Criteria can be established that increment the score if a specific scenario generated the match. For example, if an Account scenario (AC) generated the match, increment the score by 10.
• Scoring Rule Set: Criteria can be established to provide different scores for a matches if the match satisfies multiple rules defined.

  For example, if the rules defined are as follows:

  Scoring Tier 1, Number of Transactions = 40, Score 20, Next Scoring Tier is 2Scoring Tier 2, Customer age between 20 to 40, Score 30, Next Scoring Tier is 3

  Scoring Tier 3, Transaction Amount is between 10,0000 USD to USD 20,000 score is 40

The system initially checks for which rule attribute there is a match and then moves to the next scoring tier. If the match does not satisfy the values of a next scoring tier the system assigns a score as of the previous scoring tiers matched by summing up those and max it to 100 if it exceeds.