DEEP DATA ANALYTICS

The members’ risk register includes data filters for deep analysis. Within seconds a Professional Body Supervisor (PBS) can identify higher risk members & drill down to those elements identifying as a ‘red flag’.

The case management feature allows the PBS to record observations & actions taken (MLR2017 46(2)(d)).

ESTABLISH FORMAL FOUNDATION

The ability to perform data exploration is imperative to the performance of a Professional Body Supervisor. Easily conduct complex analysis on big data.

Our analysis tools are based on deep awareness for AML/CFT supervision in order to deliver analytics against a single source of truth.

GAIN INSIGHTS

AML360 SupTech is able to structure data analysis to specific requirements of Professional Body Supervisors.

This approach ensures ongoing monitoring is easily achieved & that issues impacting upon AML/CFT compliance, at either firm or sector level, are readily identified.

HOT-SPOTS

Segregate the members who are impacting on the risk of regulatory objectives not being met.

Analyse, understand & interpret the causes of their failing then guide and track members through to remediation.

Rely on these processes to support decision making & enforcement action.

INTELLIGENT TRANSLATION

Increase speed & effectiveness of decision making.

We assist a Professional Body Supervisor by providing scalable data architecture, breaking down data silos & reducing costs of supervision.

SELF SERVICE TOOLS

The self-service tools for data analysis allows a Professional Body Supervisor to run parallel work streams with other supervisory stakeholders.

Use these tools for responding to requests by the OPBAS or reporting to executives & senior managers.

THEMATIC REVIEWS

Thematic reviews are an important aspect of an AML supervisor.  Use a thematic review to assess a current or emerging risk relating to an issue or product across a number of members within the sector.

Assist in identifying areas which may warrant revision or where further work may be necessary. 

OTHER FEATURES

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