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Fintech solutions

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KYC Relavance platform (Fraud / AML / KYC / CIP)

For Banking/Insurance, Know your customer(KYC) as a platform will serve 3 purposes;

  1. KYC and compliancy

  2. KYC in CRM

  3. Exchange data between financial institutions
     

It is all about identifying the customer, knowing the customer, and detecting fraudulent behavior/transactions in a big Big-data and GDPR proof analytics environment with the rapid growth of data volumes in distributed locations.

KYC and compliancy

KYC or KYC check is the mandatory process of identifying and verifying the identity of the client when opening an account and periodically over time. Banks must make sure that their clients are genuinely whom they claim to be.
Banks may refuse to open an account or halt a business relationships if the client fails to meet minimum KYC requirements. 
And many finance companies need sophisticated financial and other monitoring systems to enable law enforcement agencies to detect suspicious transactions or activities and need to set up international cooperative arrangements to assist each other in these endeavors.

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KYC in CRM

It is essential to have a 360-degree view of your customers along with insightful analytics and intelligent reports related to customers’ buying history, preferences, behaviors, etc., all from a single and easy-to-use dashboard. It helps you leverage the power of intelligent customer information and insights to skyrocket your sales.​

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Exchange data between financial institutes

KYC is no longer a process that takes place within a bank but within the network.

KYC information is shared within that network.

The exchange of data from different environments and systems is crucial. 

They are part of a global network.

Relavance Fintech basic software offers:

- Ingestion of distributed data in different formats

- Data storage in an associative database

- Working with huge datasets

Data discovery on all data

Security by Design; GDPR proof, encryption, data lineage

AI (artificial intelligence) features like machine learning (based on associative intelligence)

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