User Preferences

The Preference main menu allows users to change preferences that affect only user experience for that one user. Additional preferences can be set by the TTI administrator.

User preferences include:

Notification E-mail Address: The e-mail address system notifications are sent to.

Default Language: The language that system screens are displayed in.

Default Country: The default country for applicant check address data.

Default Citizenship: The default citizenship for applicant checks.

Default ID Type: The default form of identification for applicant checks.

Default ID Type: The default form of identification for applicant checks.

Preferences set by TTI

In addition the items on the Preference page there are several user preferences that affect all users in an institution, or the way matching occurs. Because of the dramatic affects of these preferences they can only be set by a TTI administrator.

New Data Alert: The default functionality of the New Data Alert (NDA) features compares current and previous applicant or customer screening risk results based on account number or other unique identifier supplied by you the client. If a previous customer match exists that has the same account number and matches the same watch list data a Duplicate risk result is produced. This saves you the time of having to remediate matches where none of the underling data has changed.

New Data Alert Include Customer Name: Checking for new data based on customer account number is adequate for most clients except in situations where the account number supplied is not unique, for instance there are multiple names associated with a single account number. In these situations the NDA process can be modified to compare customers using both the account number and the customer name. This feature is enabled by setting the “use customer name match NDA” preference.

Data Source Filter: Sentinel datasets lists the sanction and black lists that an entity or individual is listed on. Sentinel allows users to set both positive and negative filters on these lists. Positive searches include only matches that use the named list, negative searches exclude matches that use the named list. For example if you wanted only entities on the OFAC list you would set a positive filter=OFAC. If you wanted to exclude entities listed by the SEC you would set a negative filter=SEC. Positive filters take precedence over negative filters, therefore in the previous example if an entity was on both the OFAC and SEC lists the entity would be considered a match.

Risk Adjustment: In normal circumstances company matches against the dataset result in a Medium Risk result. Users can set this result to high risk for a given sanction or black list. For example if you wanted all OFAC company matches to be high risk you would set OFAC=High Risk. This setting affects only company matches.

Search Tuning

Search tuning makes searches more or less sensitive by changing the matching threshold for a search, thus affecting the number of matches that are found. A search is defined as a data source and a search type, i.e. OFAC person name, Bank of England entity name, EU address, etc. For each search the matching threshold is adjusted by a user defined modifier. The modifier can be any number between -10 and 10, with zero resulting in the default matching threshold is used. Increasing the modifier, i.e. +2, makes the match more sensitive. This reduces the number of matches. Decreasing the modifier, i.e. -2, makes the match less sensitive. This increases the number of matches.

Search Types

SEARCH TYPE

SEARCH DESCRIPTION

A

Address

F

All Search Types

P

Person

E

Entity

9

Error

0

Not Applicable

I

Identification Information

R

Related Entities

X

Additional Information

W

White List

T

Phone

WARNING: These settings are institution wide and will affect all of your employees who use this system.