Due to regulatory changes, financial organisations across the globe are expected to demonstrate “Know Your Customer” or KYC. Not only at the time of Client Onboarding but throughout the entire client lifecycle.

Creating two costly undertakings, to which financial institutions, must fully commit:

  1. Initial Data Remediation 
  2. Periodic Reviews of clients based on their perceived level of risk.

Designed to become a baseline from which the periodic review process can begin, data remediation has become an erroneous task. The larger part of all data remediation activity is manual. The elimination of false positives is followed by gathering, collating and building the KYC file is estimated to be 60% of the task.

Using a tailored version of our core suite of products, ICX4 have developed an automated approach to addressing the data remediation exercise. An approach we believe eliminates 60% of the current manual activities and the associated costs.

ICX4 can improve operational efficiency, cutting data remediation costs by in excess of 60%

Our Products

enterpriseDNA

A robust, proven global data model used by some of the world’s leading financial institutions to map their entire data landscape, providing a solid foundation for improving operational and data efficiency.

Read More

insightDNA

Provides you with a interactive graphical representation of your data lineage allowing you to understand data dependencies, the impact of data changes and the sunsetting of legacy systems.

Read More

businessDNA

Matches your internal data against a large selection of external data sets in real time, ensuring all corporate decisions are based on the most accurate and current data available.

Read More

listDNA

Creates value from your data, managing complex operational list base challenges including event driven KYC and vendor management, ensuring all are consolidated where required and current.

Read More

enterpriseDNA plus

​Combines the benefits of our four core products, to give any organisation the ability to maximise data and operational efficiency.

Read More