Graph analytics & Network Intelligence

Unklock you’re connected data’s potential

Solve Complex Relationship Problems with Cutting-Edge Graph Technologies

 
We help organisations uncover hidden patterns in connected data, optimise network operations, and gain relationship intelligence that traditional databases miss, delivering solutions with 1000x performance improvements and transformative business insights.

Common Challenges We Solve

  • Complex relationship problems that relational databases can’t efficiently handle
  • Network optimisation challenges requiring sophisticated routing algorithms
  • Hidden patterns in connected data that traditional analytics overlook
  • Scalability issues when processing millions of interconnected entities and relationships

Our Solution: Graph Analytics & Network Intelligence

Our graph analytics solutions combine advanced algorithms with modern graph databases to reveal insights hidden in complex relationships. From delivering substantial performance improvements in telecommunications routing to uncovering document relationships across government policies, we transform connected data into competitive advantages.

What’s Included

  • Knowledge graph construction and semantic modelling
  • Network optimisation and shortest-path algorithms
  • Community detection and relationship mapping
  • Graph-based recommendation and intelligence systems
  • Neo4j implementation and performance optimisation
  • Custom algorithm development for specific use cases

How It Works

Step 1: Discovery – Map your data relationships and identify key graph analytics opportunities
Step 2: Graph Design – Design optimal graph schema and select appropriate algorithms for your use case
Step 3: Implementation – Build and deploy graph databases with custom algorithms and optimised queries
Step 4: Intelligence – Deploy real-time graph analytics with monitoring and continuous optimisation

What You’ll Gain

  • Surprising performance improvements in complex routing and path-finding calculations
  • Hidden relationship discovery revealing patterns invisible to traditional analytics
  • Real-time network intelligence enabling dynamic optimisation and decision-making
  • Scalable graph processing handling millions of nodes and relationships efficiently
  • Advanced recommendation systems powered by graph-based collaborative filtering
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Client Success Story

Technology/Media Platform Provider

Challenge

Optimise telecommunications infrastructure routing across the entire UK network, requiring analysis of complex geographical and equipment relationships
 

Approach 

Graph-based routing system using shortest-path algorithms, geospatial analysis, and custom optimisation for both individual and bulk processing
 

Outcome 

1000x performance improvement – calculations reduced from >10 minutes to 1 second, enabling real-time network optimisation across terabytes of infrastructure data

Technology Expertise

Graph Databases: Neo4j, graph schema design, Cypher query optimisation, APOC procedures

Algorithms: Shortest path (Dijkstra, A*), PageRank, community detection, centrality measures

Geospatial Integration: OS Mastermaps, spatial indexing, location-based graph analysis

Performance: Custom algorithms, batch processing, memory optimisation, distributed graph processing

Explore Related Services

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Industry Applications

Telecommunications

Network routing, infrastructure optimisation, capacity planning

Government

Policy relationship mapping, regulatory compliance, knowledge management

Financial Services

Regulatory compliance platforms, trading systems modernisation, risk management

Supply Chain

Logistics optimisation, supplier relationship management, route planning

Related Resources

Case Study
Telecommunications Network Routing
Case Study
Government Policy Intelligence
Industry Solutions
Telecommunications
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