Legal Entity Data Management
Many financial firms have a requirement for a central store where they can master their client and entity data. This data is then used to feed other operational processes such as KYC and Credit throughout the firm.
To respond to this requirement iMeta has developed Legal Entity Manager (LEM), a module of the iMeta CLM platform.
iMeta LEM enables firms to create a golden copy of their entity data, complete with lineage and audit. The system allows data to be aggregated from both internal and external sources according to configurable rules. This aggregated data can be validated automatically using data quality rules. Any exceptions can be sent for remediation or approval based on business rules. Using the configurable human workflow, exceptions can be automatically routed to the relevant team, reducing the lag in having access to accurate and up to date data for key business activities. Any changes to sourced or aggregated data can be quality checked automatically by the system and where appropriate routed to operators for approval. A full audit trail of completed tasks and amendments will be recorded. Finally, the system has a fully customer configurable data model, so new and custom data attributes can be quickly added when required.
To reduce manual effort and increase operational efficiency, iMeta LEM comes with a choice of supported APIs for industry recognised data sources; such as LexisNexis® Bridger Insight® XG, TR Verified Entity Data as a Service, Bureau Van Dijk and Dunn and Bradstreet. Additionally, the platform presents a clean standards-based integration façade to enable rapid integration with internal systems.
iMeta Legal Entity Manager can be used to provide validated entity and hierarchy data and documents to other in-house entity master platforms, or it can be used as the master itself. It also supports data provenance and lineage initiatives, as the audit trail includes information about the original source and value of incoming data, as well as transformation rules applied.
Roles and Relationship Manager
Many firms struggle to obtain a single view of their customers and the roles and relationships performed by all their internal and external entities. To support this requirement iMeta has extended its Legal Entity Manager (LEM) capability to include Roles and Relationship Manager (RRM).
iMeta RRM is a unique solution which completely transforms a financial firm’s ability to manage their complex 3rd party relationships and how these relate to their internal entities; improving overall customer service and new business development capabilities. Created as a direct response to growing user demand for better transparency on a firm’s clients and the different trading relationships they have with them, iMeta RRM improves risk and operational maintenance across the enterprise. The visualisation layer means all firms can now consolidate and view multiple customer relationship data sources, which typically reside within enterprise level and/or local silos, across disparate systems and geographies. iMeta RRM is available as part of the iMeta Client Lifecycle Management solution (CLM) or as a standalone solution.
For the first time firms can obtain a detailed view of the make-up of each business relationship. iMeta RRM accurately maps each client scenario; providing links by department, branch, agent account or sub-account with the products they are trading with every counterpart or client. It also incorporates relationships with external organisations, and holds multiple internal and external identifiers; allowing mapping of global firm’s reference IDs to LEI’s for example. As well as being an integral part of the iMeta CLM offering, iMeta RRM is system agnostic and can be easily integrated with any existing client lifecycle management implementation being used for data origination. This unique capability enables users to very quickly achieve an end-to-end overview of all client relationships across the entire enterprise; so business decisions can be made based on complete, validated customer data, irrespective of the source or jurisdiction.