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Unifying, enhancing, and managing data can help you know your customer. Inside and out. But can your current solutions reveal the hidden ties within your customer network?
The answer is likely no.
The lack of relationship discovery leaves you open to potential threats and vulnerabilities that are often cleverly concealed in customer data.
A knowledge graph plays a critical role in Know Your Customer (KYC) and anti-money laundering (AML) efforts. It helps prevent and investigate financial crimes by providing insights into the movement of money among customers and identifying noncompliant customers.
Reveal hidden patterns, anomalies, and connections between your customer and business entity data. Builds a knowledge graph of everyone linked to a particular customer (or entity), to quickly know if Customer A has a relationship with high-risk Customer B or Entity C that made a related party transaction.
Go beyond surface-level associations into advanced relationship discovery using in-memory processing, ML, and proprietary mathematical models. Peel layers in your customer data to find ties and identify how an individual or group is related.
Deductively links records based on common attributes, forming family units
Maximum positive matches; never misses a correct match with minimal false positives
Real-time views of the entities and their connections in your data with high precision
Compatible with various databases, hardware, apps, and operating systems
CLIP performs bulk AND batch dedupe, getting rid of duplicates at high speed and with precision. It utilizes recursive clustering for super-fast results and efficient data handling.
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