GLEIF Launches on ADI
Clients can now match LEIs easily using ADI
Integrate your CRM with other tools
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How to connect your integrations to your CRM platform?
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Techbit is the next-gen CRM platform designed for modern sales teams
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Why using the right CRM can make your team close more sales?
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What other features would you like to see in our product?
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Automated Data Inc (ADI) is pleased to announce that legal entity identifiers (LEIs) from the Global Legal Entity Identifier Foundation (GLEIF) are available on the ADI platform. ADI customers can now use the ADI platform to map LEIs from GLEIF to a customer's data sources.
GLEIF is a not-for-profit organization created to support the implementation and use of the LEI and its digital counterpart the verifiable LEI (vLEI). GLEIF’s mission is to manage a network of global partners to provide trusted services and open, reliable data for unique legal entity identification worldwide.
ADI is on a mission to solve data integration challenges, starting with data matching. The ADI platform comes with pre-packaged matching models that have been custom trained on GLEIF data, which promise to accelerate the integration of LEIs with the customer’s data sources. The combination of ADI's matching framework and GLEIF's open-source legal entity information enables data consumers to more efficiently and confidently match and master entity data for any use case, including entity resolution, onboarding, know your customer and regulatory reporting.
The ADI platform is a Dockerized solution that runs in the customer's technology environment. The platform is fully integrated with MySQL, Postgres, Snowflake, and will soon be integrated with Databricks.
How does it work?
1, Configure a job that points the pre-trained matching model for GLEIF at your target data
2. Schedule a matching pipeline that references said job and define the required outputs
3. Review matching results, and manage any overrides
4. Enjoy fully matched data
Don't hesitate to contact us at info@automated-data.io if you want a highly flexible and modern technology stack for matching data.
