Build twins!

Network Twin

Who is connected to whom — and where are the blind spots?

1 Core Question

Do we understand the network around our business — or only the individual relationships inside it?

2 The Business Problem

Traditional customer and stakeholder data show entities. They rarely show the network between them.

CRM systems are usually organised around individual accounts, contacts or interactions.


A relationship can be valuable on its own.
Its position in the network can make it far more valuable.

3 What the Twin Does

It turns relationships into a dynamic network model.


A Network Twin combines information about organisations, people, accounts and their relationships into a connected representation of the business environment.

The model can distinguish different types of relationships and analyse both direct and indirect connections.

4 Demonstrated Capabilities

Network structure mapping

Transform individual entities and relationships into a connected network and reveal patterns that are difficult to see in conventional tables or CRM views.

Key connector identification

Identify organisations or individuals whose network position makes them important bridges, access points or potential bottlenecks.

Community and cluster detection

Detect naturally connected groups of organisations or stakeholders and compare them with existing segmentation or account structures.

Coverage and blind-spot analysis

Identify parts of the network that are weakly connected, isolated or accessible only through a small number of relationships.

5 Blueprint

Required Conditions

Modeling tools

Typical KPIs

Customer, organisation or stakeholder identifiers
Known relationships between entities
Account or contact information
Interaction or activity history
Relevant entity attributes
Relationship type or strength, where available

Graph and network modelling
Centrality analysis
Community detection
Path and reachability analysis
Network segmentation
Scenario simulation

Network coverage
Number of active relationships
Connectivity
Centrality
Dependency concentration
Community coverage
Bridge relationships
Isolated entities
Distance to target accounts
Network resilience

6 Decision the Model can support

  • Which relationships are structurally most important?

  • Where are the major blind spots in our network?

  • Which customers, organisations or individuals connect us to otherwise inaccessible groups?

  • Are we overly dependent on a small number of key relationships?

7 From Network to Action

Signal

Twin Interpretation

Possible Action

Many important accounts are reached through one intermediary

Access to part of the network depends heavily on a single relationship

Build alternative connections and reduce dependency

A relevant cluster has few direct relationships with the company

The organisation has a network coverage blind spot

Prioritise outreach to actors inside the underserved cluster

One stakeholder connects several otherwise separate communities

The stakeholder has unusually high bridging importance

Protect and strengthen the relationship

A potential new contact is connected to several priority organisations

One new relationship could substantially improve access

Prioritise the contact based on network impact rather than account value alone