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.
“As a Partner Sales Director of Graphwise, I have worked with Semantic Partners on multiple customer use cases. Semantic Partners are a Graphwise trusted consulting and implementation partner globally. They are agile, hands-on, knowledgeable, strategic, efficient, and effective - everything an AI & Knowledge Graph product vendor can expect from a professional services partner! Semantic Partners can be summarized as "Everything AI & Knowledge Graph"”
Ivan Antrov · Partner Sales Director, Graphwise
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.