Data Integration for Public Systems

March 20, 2026

By Ted Steinmann

Good integration work starts by making contracts explicit. That includes identifiers, source-of-truth rules, failure handling, field mappings, and the point where one system stops being authoritative and another begins.

What This Work Covers

  • API and batch exchange design
  • field mapping and schema alignment
  • canonical identifiers and entity resolution
  • export/import workflows
  • reconciliation and error handling
  • documentation for operators and implementers

Why This Matters

Interoperability claims are easy to make and hard to validate. Teams need integration work that produces usable artifacts and stable implementation boundaries.

Start With A Small Package

Category: integrations

Tags: integrations