Data Integration

Data integration connects two or more systems so data flows between them automatically — the wiring that turns a stack of tools into a single operating surface.

What is data integration?

Data integration is the discipline of moving data between systems so the right record lands in the right place at the right time. Patterns range from simple point-to-point API calls to full ETL/ELT pipelines that land everything in a warehouse and reverse-ETL that pushes warehouse models back into operational tools.

Why it matters

Most GTM problems are integration problems in disguise — the data exists somewhere, just not where it needs to be acted on
Better integration unlocks AI use cases that cross system boundaries
Cleaner integrations reduce maintenance and outage surface

Common patterns

Native integration — vendor-built, fastest to set up, narrowest scope
iPaaS — Zapier, Make, n8n; visual builder, broad coverage
Reverse ETL — warehouse → operational tool (CRM, ad platform); ideal for AI-derived audiences
Custom API — maximum flexibility, requires engineering

How TexAu helps

TexAu connects to dozens of GTM tools out of the box and exposes a REST API + MCP server so it can sit in the middle of your stack — pulling, enriching, scoring, and pushing data wherever it needs to go.