Knowledge Graph

A Knowledge Graph is a connected model of your business: the entities you operate on, such as customers, locations, invoices, and jobs, plus the metrics, rules, and relationships that link them. SIGNLD builds it from read-only connections to your systems, so questions are answered against your structure rather than a generic guess.

How it works

• Connections read schema and rows from each source system. Nothing is written back.
• Entity resolution matches the same real-world thing across systems, so one customer is one entity even when three systems spell the name differently.
• Relationships record how entities connect, for example invoice to customer to location to owner.
• Business rules and metric definitions are attached to entities, so a term like active customer means one thing across every answer.
• The graph is temporal. It records how definitions and values changed, which is what makes month-over-month comparisons honest.

How to use it

• Review proposed entities early. Correcting one bad match saves a dozen confusing answers later.
• Add the systems that disagree with each other. Conflict is where the graph earns its keep.
• Keep definitions in the graph rather than in the question, so every answer uses the same logic.