Short answer
Correlate is the second step. NexDiscovery resolves the same real-world entity across your authorized sources and searches the approved data on its own for signals that no single system holds.
Key takeaways
- Dashboards query one source at a time. Cross-system signals sit between sources.
- Records are matched using your shared keys and identifiers.
- The search is autonomous, not prompts or queries, and stays within your approved scope.
What happens
The engine resolves the same real-world entity across authorized sources using shared keys, account identifiers, customer numbers, domains, and tax or registration IDs. Where keys are inconsistent, it uses fuzzy matching. It then searches the approved data on its own for cross-system signals.
Why single systems miss it
A dashboard shows what its own source holds. A signal such as heavy support use paired with weak product adoption appears only when two or more disconnected sources are analyzed together.
What it needs
- The connected, read-only scope from Map.
- Shared identifiers across the systems in scope.
What you get
Candidate signals worth testing. They are not yet findings. Each one goes to Validate before you see it.
What it is not
It is not prompts or queries. You do not need to know what to ask.
Frequently asked questions
What is the Correlate step?
What is a cross-system signal?
Do my systems need to be consolidated first?
Do I see results right after Correlate?
Related guides
Map: how NexDiscovery learns your data
Map is the first step.
Read guideValidate: how NexDiscovery checks every finding
Validate is the third step.
Read guideProactive Intelligence vs. BI vs. LLM chat: a reference comparison
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