Rule efficacy changes, and generally degrades with time. Fraudsters find new avenues of attack that circumvent the rules. The business evolves, opening new paths of access or commerce previously unprotected. System changes modify the meaning of data creating subtle downstream effects. For all these reasons, Fraud Analysts find that a major part of their job is the monitoring of the existing rule set. They can use this report to assess the effectiveness of the configured rules and their scores.
The Rule Effectiveness Report tabulates which rules established the outcome for the risk evaluation, as explained in the following table.
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Parameter |
Description |
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Rule Name |
Lists the rules currently configured in the system. |
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Advice |
Specifies the action suggested by RiskMinder after evaluating the risk of each transaction. The generated risk advice can be one of the following:
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Yesterday Transaction Count |
Specifies the total number of times the corresponding Rule Name was triggered in the last 24 hours of the report generation. |
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Last 7 Days Transaction Count |
Specifies the total number of times the corresponding Rule Name was triggered in the last 7 days of report generation. |
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Last 7 Days Daily Average |
Specifies the average number of times the corresponding Rule Name was triggered in the last 7 days of report generation. |
|
Last 30 Days Transaction Count |
Specifies the total number of times the corresponding Rule Name was triggered in the last 30 days of report generation. |
|
Last 30 Days Daily Average |
Specifies the average number of times the corresponding Rule Name was triggered in the last 30 days of report generation. |
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