iMeta Connectivity

iMeta Connectivity – An Intelligent Integration Layer
iMeta Connectivity is a data integration platform that financial firms can use to connect their in-house systems to a variety of industry and vendor client and entity data sources.
Global regulatory reform programmes including; Dodd-Frank, EMIR, FATCA, MiFID II, Basel III and AIFMD have created a requirement for financial institutions to obtain and maintain up to date client data records. This requirement is being met by a growing number of data content suppliers.

Connect, Validate, Aggregate, Integrate:
iMeta Connectivity consists of fully supported and maintained connections to these data sources such as LexisNexis® Bridger Insight® XG and Refinitiv, via their application programme interfaces (API’s). It leverages a configurable rules and workflow engine that can consume and validate legal entity data and associated documents. iMeta Connectivity can also be used to aggregate data from multiple sources, based on conditional rules if required. The solution provides the strategic ability to utilise multiple sources of data, whilst ensuring data quality; thereby empowering firms with accurate and streamlined data and straight through processing (STP) to support both business and regulatory processes.

iMeta Connectivity Flow Diagram

iMeta has developed fully supported API connectivity to:

  • LexisNexis® Bridger Insight® XG
  • Refinitiv
  • DTCC (Omgeo ALERT)
  • Dun & Bradstreet
  • C6 Intelligence

And we are currently developing connectivity to further data providers.

Data Aggregation:
iMeta Connectivity also facilitates the integration of data from different sources. Composite records comprised of the latest and preferred data chosen from all possible sources can be produced. The consolidated data forms a “client master” record, with fully auditable provenance of where the data was sourced from and what the available values were at the time of record creation. This information can then be propagated downstream, via internal integrations, to relevant trading systems, reporting engines and data repositories.