A relationship graph quickly shows who is connected to whom - but it is easy to over-interpret. A few rules that help read it responsibly.
A relationship graph is a convenient mental shortcut: nodes are entities and people, edges are relationships. The strength of this representation is its readability - and that is also its trap.
The existence of an edge does not settle the nature of the relationship. A shared registered address may mean a virtual office, not a real connection. That is why every material edge should lead to a source.
A good relationship map is not a report decoration, but a list of hypotheses to verify.
Matching a name to a watchlist is the start, not the end of the analysis. How to read a screening result and reduce false positives.
A preliminary analysis of an entity before a transaction will not replace full due diligence, but it sets priorities well. We show where the line runs.
A practical overview of the public and licensed sources worth checking before working together - and what public data simply cannot tell you.