Overview
What this challenge is about.
Design a Customer 360 Graph for a Cross-Border Fintech. Advanced challenge in design. Designing real products under real constraints, earn a blockchain-verif...
The Brief
What you'll do, and what you'll demonstrate.
Specify a customer-360 knowledge graph with entity resolution and weekly compliance queries that a platform team can execute.
This is not a design exercise. It is the work a product designer does between a brief and a shipped interface. That distinction matters to every hiring manager who has seen candidates redesign Spotify's homepage and none who have worked under real product constraints.
When you finish, you will have something most graduates do not: a real-world deliverable, verified by Ewance, that you can show to a hiring manager and say "I did this. Here is the proof."
Earning criteria — what you'll demonstrate
- Design an OWL ontology for a regulated-industry customer domain
- Apply hybrid deterministic + fuzzy entity resolution
- Author SPARQL queries that support compliance reviews
- Communicate KG design in a platform-executable specification
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Customer 360
Apply customer 360 to solve real industry problems and demonstrate production-level capability.
- Entity Resolution
Apply entity resolution to solve real industry problems and demonstrate production-level capability.
- Owl Ontology
Apply owl ontology to solve real industry problems and demonstrate production-level capability.
- Sparql
Apply sparql to solve real industry problems and demonstrate production-level capability.
- Knowledge Graphs
Apply knowledge graphs to solve real industry problems and demonstrate production-level capability.
- Spec Writing
Apply spec writing to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
AI Solutions Architect
Designing a customer-360 KG spec for a regulated client is the AI solutions architect's daily output in fintech engagements.
This challenge sharpens
- customer-360
- knowledge-graphs
- spec-writing
Data Engineer
Implementing entity resolution and RDF modeling is core data-engineering work at any fintech with a unified-customer ambition.
This challenge sharpens
- entity-resolution
- owl-ontology
- sparql
AI Engineer
Building the compliance query layer on top of the KG is the AI-engineer skillset that fintech compliance teams hire for.
This challenge sharpens
- sparql
- knowledge-graphs
- entity-resolution