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Customer 360: Financial Services
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Customer 360: Financial Services
Tags:
Customer 360
Finance
Graph Technology
Summary:
Graph, Enterprise search, and enterprise analytics for financial services.
Similarity / Influence
Multiple-lines Business
Sentiment
Recommendations
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Demo
C360 for Retail
Graph Analytics
Churn Avoidance, Upsell, Cross Sell
Loyalty, Clickstream Demographics
Focused Campaign Management
Demo
Finance Toolkit
Market Overview tab walkthrough
Company Overview tab walkthrough
Demo
Financial Services: Fighting AML and Trade Fraud
Process improvement
Provide alerts
Case management
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Lightning Talk
Alternative Investments: Part 2
Technology Stack - Laggard / Status Quo / Innovator
Outdated Technology
Missed Opportunities
Buy / Sell Recommendations
Demo
Supply Chain: Inventory & Resource Management
Resourcing
Supply Mapping
Routing Optimization
Scheduling & Planning
Online Seminar
Fighting Financial Crimes with Graph Analytics- A Deep Dive
How graph and machine learning combine
How does current technology address anti-fraud with graph?
Blog
The Three Paradigms of GraphML
The three types of graph machine learning (graphML) are smart data extraction, data structure analysis, and full graphML. This article explains all three.
CASE Study
Optimizing A Multi-National Supply Chain
Bringing Visibility to a Complex Data Lake
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