Explore your knowledge graph visually and gain new perspectives on your data.
Once a knowledge graph is created, it can be hard to understand what’s inside without technical tools or graph query languages. The Data Explorer changes that by allowing users—technical and non-technical—to click, search, and visually follow connections across data domains.
The business benefit is twofold: first, teams can explore data independently, reducing reliance on IT for reports or ad hoc queries. Second, errors or missing links become instantly visible, improving data quality and trust.
Practical Example: A digital product development team is onboarding new engineers. Using Data Explorer, they can quickly understand how customer feedback links to product features, engineering components, and known bugs. Instead of sifting through tickets and documents, they get a visual story of the product’s evolution.