SayPro Ensure the accuracy of M&E data by documenting and correcting any errors found during accuracy audits.

Certainly! Here’s a detailed and professional version of your statement, aligned with SayPro’s Monitoring and Evaluation (M&E) standards:

---

Ensuring the Accuracy of M&E Data Through Documentation and Correction of Errors

The SayPro Monitoring and Evaluation (M&E) Reporting Office is committed to ensuring that all M&E data is accurate, reliable, and fit for purpose. A key component of this commitment is the systematic documentation and correction of any errors identified during accuracy audits. This process forms a critical part of SayPro’s Data Quality Assurance Framework and supports evidence-based decision-making across programs and projects.

Objective

To maintain the highest standards of data integrity, SayPro will:

• Identify and document all data discrepancies during M&E audits.
• Correct these errors promptly.
• Strengthen processes to prevent recurrence.
• Maintain a transparent record of data quality improvements over time.

Key Procedures

1. Error Identification
   • During routine and targeted data accuracy audits, the M&E team will review all relevant datasets, indicators, and source documents.
   • Errors may include data entry mistakes, misreporting, calculation inaccuracies, or inconsistencies across documentation.
2. Error Documentation
   • All identified errors will be logged in a centralized Data Discrepancy Register.
   • Each entry will include:
     • Description of the error
     • Source of the issue (e.g., report, form, system)
     • Severity level (minor, moderate, major)
     • Responsible department or staff
     • Date identified
3. Data Correction
   • The responsible teams will correct the identified data, guided by M&E protocols and in coordination with the Reporting Office.
   • Where necessary, source documents or digital records will be updated to reflect the corrected data.
   • Corrections will be clearly marked and version-controlled to ensure transparency.
4. Verification of Corrections
   • Once corrections are made, the M&E team will re-verify the data to confirm the issue has been resolved.
   • If the issue persists, additional actions or escalation may be required.
5. Preventive Action
   • Root causes of recurring errors will be analyzed.
   • Corrective and preventive measures will include system improvements, staff retraining, and updates to data collection tools or procedures.
6. Reporting and Follow-Up
   • Corrections and outcomes will be included in regular Audit and Data Quality Reports.
   • Progress will be tracked through the corrective action monitoring system to ensure closure of each issue.

Expected Outcomes

• Increased accuracy, consistency, and credibility of M&E data across all SayPro programs.
• Stronger data governance and audit readiness.
• Enhanced stakeholder confidence in SayPro’s reporting and accountability frameworks.

---

Let me know if you’d like this section incorporated into a broader M&E Policy Manual, SOP, or training module.