5.2.4.6 Obtain the SAR Information
This section provides information about how to Obtain the SAR Information.
SM_SAR_Extraction batch is available in the out-of-the-box for the Scenario Model framework. This is a pre-seeded batch and will be available in all the workspaces.
This batch loads SAR Information to AIF_INVESTIGATED_ENTITY table.
Batch and Task Parameters
Figure 5-45 Define Task for SAR_Extraction
- Objective folder for this
task:
Home / Model Pipelines / ML4AML / Scenario Model / Batch / SAR Extraction
- Do not change any parameter, except Optional Parameters.
- Optional Parameters:
- mode: Extraction Mode to be used. This parameter is case-sensitive, and the option is either FILE or ECM.
- if_exists: This parameter is used to set the
behavior of data insertion. This parameter is case-sensitive, and
the option is either OVERWRITE or APPEND.
- OVERWRITE: Overwrites the rows where ENTITY_ID, ALERT_DATE, and LABELLED_SCENARIO are matched and inserts the rest of the rows.
- APPEND: Ignores the rows where ENTITY_ID, ALERT_DATE, and LABELLED_SCENARIO are matched and inserts the rest of the rows.
- ecm_datastore_name: Data Store created in the Compliance Studio UI for ECM atomic schema from where we need to extract the investigated labels.
- processing_batch: Value for v_data_origin column from the fcc_events table in ECM.
- from_date: Value for d_mis_date from the fcc_events table in ECM. The format should be DD-Mon-YYYY.
- to_date: Value for d_mis_date from fcc_events table in ECM. The format should be DD-Mon- YYYY.
- Example: mode=ECM,if_exists=OVERWRITE,ecm_datastore_name=SM_ECM, processing_batch=DLY,from_date=01-Nov-2015,to_date=30-Dec-2015
- Edit Task Parameters & Save.
Obtain the SAR from the CSV file
For loading data using a CSV file, the SM_SAR_Extraction batch should be executed using the following parameters:
Note:
The remaining parameters can be ignored but should not be removed while running the batches.A sample CSV is shipped with Compliance Studio named
sar.csv
in the
<COMPLIANCE_STUDIO_INSTALLATION_PATH>/deployed/ml4aml/demodata/sar.csv
directory.
- ENTITY_ID: Customer ID or Account ID.
- SUSPICIOUS_FLAG: This flag has two options and they are 1 (Suspicious) and 0 (Nonsuspicious).
- ALERT_DATE: SAR/EVENT generation date. The format should be YYYY-MM-DD.
- CREATED_ON: CSV file creation date. The format should be YYYY-MM-DD.
- CREATED_BY: CSV file created by
- UPDATED_ON: CSV file updated date. The format should be YYYY-MM-DD.
- UPDATED_BY: CSV file updated by
- LABELLED_SCENARIO: Scenario ID corresponding to the entity_id and alert_date.
- ENTITY_CD: This parameter has the following options:
- CUSTOMER
- ACCOUNT
- EXTERNAL ENTITY
- CLIENT_BANK
Note:
In the CSV file, the user is expected to populate Non-Null data for all the columns except UPDATED_ON and UPDATED_BY.Obtain the SAR from ECM
For loading data from ECM, the SM_SAR_Extraction batch should be executed using mode = ECM along with all the other parameters.
For example,
mode=ECM, if_exists=OVERWRITE, ecm_datastore_name=SM_ECM, processing_batch=DLY, from_date=01-Nov-2015 to_date=30-Dec-2015
The SM_SAR_Extraction batch runs with mode = ECM, will fetch data from ECM tables and load data to AIF_INVESTIGATED_ENTITY based on the if_exists condition.
The query used for fetching the data from ECM can be found in the proc_ecm_sar_query procedure under the pkg_scenario_model package.
- FCC_EVENTS
- FCC_EVENT_ENTITY_MAP
- FCC_EVENT_DETAILS
- FCC_SCENARIO_MASTER
- FCC_EVENT_INVESTIGATION_STATUS
- FCC_EVENT_STATUS_B
- KDD_CASE_LINKS
- KDD_CASES
- KDD_REVIEW_OWNER
- KDD_STATUS