Knowledge Graphs
Knowledge graphs connect your organisation's data into a single, queryable intelligence layer - linking people, products, policies, and processes in a way that both humans and machines can reason about. Before building one, you need to understand where a knowledge graph fits in your architecture, which use cases deliver the fastest ROI, and how to avoid the common pitfalls that derail graph projects.
“Most partnerships move slowly because you spend the first six months explaining how the technology works. With Semantic Partners, that phase did not exist. Their knowledge graph expertise meant they understood what Squirro does and why it matters before the first customer conversation. That changes the quality of the work they bring.”
Dorian Selz
CEO
Squirro
What's included
- Knowledge graph readiness assessment
- Use-case identification and prioritisation
- Data landscape mapping and source inventory
- Architecture blueprint (RDF vs. property graph vs. hybrid)
- Business case and ROI modelling
- Proof-of-concept scoping and success criteria
Business impact
- Understand whether a knowledge graph is the right solution for your problem
- Identify the highest-value use cases across your data landscape
- Get a clear architecture blueprint before committing to a platform
- Quantify expected ROI with a defensible business case
- De-risk your investment with a scoped proof-of-concept
Our process
A proven methodology refined across dozens of enterprise engagements.
Discovery
Mapping your data landscape, existing integrations, and the business problems that a knowledge graph could solve.
Use-Case Prioritisation
Scoring candidate use cases on business value, data readiness, and implementation complexity to identify quick wins.
Architecture Blueprint
Designing the target graph architecture - data model, platform options, integration points, and governance requirements.
Business Case
Building a defensible ROI model with cost estimates, risk analysis, and a phased implementation roadmap.
PoC Scoping
Defining the proof-of-concept scope, success criteria, and evaluation framework to validate the approach before full build.
Frequently asked questions
Ready to get started?
Book a 30-minute consultation to discuss how knowledge graphs can accelerate your semantic technology programme.