Pipeline Integrity Audit (Delivery)

Pipeline Integrity Audit (Delivery)

1. 01

   Map the client's data flow from source to consumption

   Document every system that produces or consumes data, including CRMs, warehouses, and AI models, so you know where quality issues can enter.

2. 02

   Define quality thresholds for each critical field

   Set measurable rules for completeness, uniqueness, and freshness, such as requiring 95% populated email addresses or zero duplicate customer IDs.

3. 03

   Run a baseline scan against the defined thresholds

   Use the observability platform to measure current data health, capturing a snapshot you can compare against after fixes.

4. 04

   Identify the top three failure points by business impact

   Prioritize issues that would most damage client outcomes, like broken pipeline stages feeding a revenue dashboard, over cosmetic problems.

5. 05

   Implement automated monitoring for those failure points

   Configure alerts that fire when a threshold is breached, so the agency catches regressions before the client notices.

6. 06

   Document remediation steps for each alert type

   Write a runbook that tells a junior analyst exactly how to resolve a duplicate record or a stale sync, reducing mean time to recovery.

7. 07

   Review the audit with the client and agree on ownership

   Present findings in plain language, and confirm whether the agency or the client owns fixing upstream source-system issues.