The BusinessGraph visualizes economic relationships in corporate banking. This enables banks to leverage customer potential in a more targeted manner, assess risks on a sounder basis, and make better-substantiated decisions.
Banks know their customers. Yet the context in which they operate economically is often missing.
Which customers are interconnected? Where do new opportunities for outreach arise? When is a risk indicator part of a broader pattern?
Without relational context, these signals remain hidden or require time-consuming manual review.
Relevant customer touchpoints are not identified early.
Economic structures must be retraced manually.
Anomalies are assessed without network context.
Palturai supports banks wherever relational context is critical—ranging from customer development and risk assessment to compliance and audit processes.
In wealth management, Palturai helps identify relevant events early and prepare customer outreach with precision.
FraudTracer assists in evaluating suspicious structures within credit and customer portfolios in a network context.
Palturai supports KYC and compliance teams in analyzing economic structures and ownership relationships.
Palturai enhances existing banking processes with the relational context often missing from traditional datasets. This makes it clear whether a customer, indicator, or structure should be evaluated in isolation or as part of a larger economic network.
Customers are viewed within their economic network rather than in isolation.
Changes and events provide actionable indicators for targeted outreach.
Anomalies can be evaluated within context and prioritized with greater precision.
Complex connections become transparent without the need for manual consolidation.
Palturai empowers banking teams to progress faster from initial indicators to sound assessments. This reduces investigative effort, improves classification, and creates a transparent foundation for decision-making.
Customer engagement and review processes start with deeper context.
Anomalies are analyzed within their relational context and evaluated with sounder reasoning.
Analyses remain explainable, auditable, and can be seamlessly integrated into existing processes.
Palturai makes complex corporate networks transparently analyzable without automating decisions. Data lineage and relationship paths remain auditable, results remain explainable, and the professional decision rests with the banking team.
How many of your most valuable target clients are currently hidden within data you already possess—simply because no one has connected the dots? WealthCatalyst uncovers precisely these hidden (U)HNWI opportunities. This white paper demonstrates how this works in practice through real-world use cases.
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