Data Quality Anti-Money Laundering (Unique Archive)
Anti-Money Laundering Monitoring System
[La soluzione Irion] It immediately convinced us. So much so that we immediately went ahead even with a use outside of Data Quality […] that was the driving force.
Francesco Garbellini
Information Governance & Data Quality Manager
Requirements
Automated, continuous, traceable and reconstructible monitoring
Automation and efficiency
Fully automated process from data acquisition to outcome production
Input data storage with possibility of consulting it: Master Data, Movements (from sectoral data streams), Unified Storage Automated reconciliation Analysis of the results via special monitors
Flexibility and Traceability
Verification threshold parametrization and possibility to introduce new controls
Definition of matching rules between the ledgers and the Centralized Computer Archive Storage with the operations of data and metadata modification Highly traceable process with the possibility to reconstruct it over time
Autonomy
A simple and intuitive interface for the user to modify filters, keys, and matching rules
Quick implementation of new reconciliation chains (Master Data, Current Accounts, Securities, etc.)
Building a bridge between Business and IT
Solution
Data Quality and Anti-Money Laundering with Irion EDM
Capabilities
Some of the Irion EDM features used: Metadata Driven Engine, Execution Datastore Human Task Interface Rule User Lab Automatic Rule Documentation
Results obtained
Rapid grounding of the solution (the project lasted about 6 months) Storage in a repository of the results of the processing and the calculation logics used
Possibility to consult the contents of these repositories via user interface Management and, if necessary, modification of the reconciliation rules via a simple and intuitive user interface
Presence of a series of monitors for users to perform even complex analyses of the reconciliation outcomes Reduction in the cost of inevitable recycling and tuning of controls in progress
Challenges
Flexible, high-performance and automatic system
Data Integration Transformation
Fully automated acquisition, transformation, integration and filtering of input data
Data Warehousing Data Quality
Creation of historical archive for consultation —– Execution of standard technical controls generated automatically on input flows Execution of reconciliations between sectoral and AUI flows, based on matching keys definable via rule editor
Data Aggregation and Reporting
Availability of a series of monitors for consultation and analysis of reconciliation outcomes, discards of records not due