F.13 Fraud Detection - Summary Datamaps Detection

Summary Datamaps are used to calculate aggregations across various entities using Trade, Transaction, Positions and Balances tables.

These datamaps populate various profile tables for different entities, such as Account Profile, Household Profile, and Correspondent Bank Profile. The aggregation is done either daily, weekly or monthly depending on the business areas.

Optional Datamaps are used to perform processing to support other datamaps in multiple functional areas. These datamaps may or may not be completely relevant to a particular solution set. Execute the datamap if a scenario in your implementation requires this information.

Table F-13 Fraud Detection - Summary Datamaps

Datamap Number Datamap Name Predecessors
11160 AccountDailyProfile-Trade NA
11170 AccountDailyProfile-Transaction 10940
11180 AccountProfile_Trade 11160
11190 AccountProfile_Transaction 11170
11200 AccountProfile_Stage

Optional: Run the datamap if there is any record in Account Profile Stage

11180 11190
11210 AccountProfile_Position 11180 11190
11220 AccountProfile_Balance 11180 11190 11210
11230 ChangeLog_AcctProfileInactivity 11180 11190 11200 11210 11220
11240 AccountPeerGroupMonthlyTransactionProfile 11180 11190 11200 11210 11220
11300 AccountChangeLogSummary The datamap should be executed once the change log processing is done.
11310 AccountToCustomerChangeLogSummary The datamap should be executed once the change log processing is done.
11320 CustomerChangeLogSummary The datamap should be executed once the change log processing is done.

Note:

The AccountChangeLogSummary, AccountToCustomerChangeLogSummary, and CustomerChangeLogSummary datamaps must be run with execute.sh from 8.0.2 onwards