Network Graph

KYC

Customer Servicing

Credit Risk

Fraud Risk

Description

A network graph is a visual representation of the relationships between a customer and other entities or individuals. It displays the connections between different entities, such as customers, accounts, and transactions, in a graph format that helps to identify patterns and insights that may not be immediately apparent from a traditional data analysis. The nodes in the graph represent entities, and the edges represent relationships between them. By analyzing the network graph, it is possible to identify hidden connections, such as fraudulent activity or money laundering, that may be missed by traditional analytics.

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Key Business Outcomes

Key Metrics

Improved Fraud Detection: Reduction in fraud losses, reduction in false positives

Enhanced Customer Experience: Improvement in customer satisfaction scores, increase in cross-sell and upsell revenue

Better Risk Management: Reduction in losses due to credit or operational risk, improvement in regulatory compliance

Improved Operational Efficiency: Reduction in operational costs, improvement in productivity and efficiency

Increased Revenue: Increase in revenue, increase in market share

Number of anomalous connections detected

Increase in customer engagement, number of personalized product recommendations

Number of high-risk customers identified and managed proactively, early warning system for potential risks

Reduction in operational errors, reduction in manual intervention, increased straight-through processing

Number of new revenue opportunities identified, increase in cross-sell and upsell revenue

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