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EKG Catalog
Relationships & Connections
EKGF/ekg-catalog

Relationships & Connections

Client 360 / Customer 360 Customer Relationship Management Know Your Customer Relationships & Connections Business Connections Family Connections Political Connections Social Connections Social Media
Client 360 / Customer 360 Customer Relationship Management Know Your Customer Relationships & Connections Business Connections Family Connections Political Connections Social Connections Social Media
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Relationships and connections encompass the comprehensive modeling and analysis of customer relationships across multiple domains including business, family, social, and political connections. This use case addresses discovering hidden relationships, tracking relationship evolution over time, understanding network effects and risk propagation, meeting regulatory compliance requirements for related party identification, and balancing relationship analysis with privacy concerns.

The Challenge

Organizations face significant challenges in relationship management:

  • Relationship complexity — Customers maintain multiple types of relationships across different domains (business, family, social, political)
  • Hidden relationships — Many relationships are not explicitly declared or easily discoverable
  • Relationship evolution — Relationships change over time through life events, business transactions, and social interactions
  • Data fragmentation — Relationship information scattered across multiple systems, channels, and external data sources
  • Network effects — Understanding how relationships create networks and influence patterns
  • Risk propagation — Identifying how risks can propagate through relationship networks
  • Compliance requirements — Regulatory requirements for identifying related parties and beneficial ownership
  • Privacy concerns — Balancing relationship analysis with privacy and data protection requirements

Traditional systems treat relationships as simple attributes or separate data points, missing the network effects and insights that come from understanding relationship structures.

Why EKG is Required

Enterprise Knowledge Graphs provide powerful relationship management capabilities:

  • Native graph structure — Relationships are naturally represented as graph edges, enabling efficient traversal and analysis
  • Multi-dimensional relationships — Model different types of relationships (business, family, social, political) in a unified structure
  • Network analysis — Analyze relationship networks to identify communities, influencers, and patterns
  • Relationship discovery — Discover hidden relationships through graph algorithms and pattern matching
  • Temporal tracking — Track relationship changes over time and maintain historical records
  • Risk propagation — Understand how risks propagate through relationship networks
  • Cross-domain analysis — Analyze relationships across different domains (business, family, social, political) simultaneously
  • Identity resolution — Link the same individual or entity across different relationship contexts

Business Value

  • Risk assessment — Identify risks through relationship analysis and network effects
  • Fraud detection — Detect fraud through relationship pattern analysis
  • Compliance — Meet regulatory requirements for related party identification
  • Cross-selling — Identify opportunities for relationship-based services and products
  • Customer insights — Understand customer context through relationship networks
  • Due diligence — Support due diligence through comprehensive relationship analysis
  • Network effects — Leverage relationship networks for marketing and customer acquisition

Components