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DI-4: Data Error Handling

Summary​

DI-4 highlights Make.com scenarios and n8n workflows where data operations may fail without a safe recovery path. FlowBeacon uses this policy to help teams reduce silent loss, partial updates, and difficult-to-diagnose downstream issues.

Severity: Medium · Category: Data Integrity · Platforms: Make.com, n8n

What FlowBeacon Reviews​

  • Whether important data operations appear to have explicit failure handling around them.
  • Whether failed updates can be reviewed, retried, or resolved in a controlled way.
  • Whether data operations appear to ignore failures instead of handling them.

Why This Matters​

  • A write failure without recovery can create silent gaps or partial business records.
  • Controlled failure handling reduces downstream cleanup and rework.
  • Good error paths improve resilience without hiding important issues.

If This Policy Is Flagged​

  1. Identify which data operations need a retry, review, or fallback path.
  2. Add controlled handling for failures that should not simply be ignored.
  3. Make sure failed records can be investigated and recovered safely.
  4. Re-run the evaluation after the automation has a clearer recovery path.

Why Users Care​

  • Users reduce the risk of missing or inconsistent business data.
  • Support teams get a more practical route to diagnose and correct failures.
  • Partners can deliver automations that behave predictably under real-world errors.