Module v1.0 · Required
DADE-302 - Data Quality and Reconciliation: learning module
Find missing, duplicated, inconsistent, or unexpected records before reporting a result.
Design basic data-quality checks; reconcile totals to a trusted source; distinguish data issues from query errors; and document limitations.
Context and purpose
Understand the outcome, boundaries, and evidence expected from this class track.
Find missing, duplicated, inconsistent, or unexpected records before reporting a result.
This review-stage module is a platform-owned baseline. An adopting instructor should align terminology, examples, policy references, and escalation contacts to the organization before activation.
- Purpose and intended audience are clear
- Permitted and prohibited practice boundaries are visible
- Evidence and completion expectations are stated
- Adopter-specific policy questions are captured