Data Integration
What is Data Integration?
Integration is the catch-all for the work of making systems talk. It includes API-based sync, webhook-based event flows, ETL pipelines, reverse ETL from a warehouse, and emerging patterns like change-data-capture. The discipline that separates good integration from bad is contract: explicit field mappings, defined source-of-truth per field, clear conflict resolution, observable failure modes. A modern B2B GTM team operates 15-30 integrated tools; without disciplined integration, each one becomes its own island and reps end up as the integration layer. With disciplined integration, the stack behaves like a single product even though it's assembled from a dozen vendors.
Why it matters
- Eliminates rep-as-integration patterns where humans copy data between systems all day.
- Powers real-time plays — events in one system can trigger workflows in another instantly.
- Required to operate a 20+ tool stack without each tool becoming a partial-view island.
Use cases
- CRM + marketing automation. The foundational B2B integration, with bi-directional sync of contacts and engagement.
- CRM + warehouse. Every CRM change lands in the warehouse for downstream analytics.
- Webhook orchestration. Events in any system fire to a central workflow that orchestrates the response.
How turgo helps
turgo connects to the rest of the stack through a documented API and webhook surface — and ships native integrations with the major CRMs, marketing automation tools, and warehouses out of the box.
See turgo in action →
