SayPro Data Cleaning and Audit Logs.

SayPro is a Global Solutions Provider working with Individuals, Governments, Corporate Businesses, Municipalities, International Institutions. SayPro works across various Industries, Sectors providing wide range of solutions.

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SayPro Data Cleaning and Audit Logs

Department: [Insert Department Name]
Unit: SayPro Monitoring, Evaluation and Learning Royalty
Reporting Period: [Insert Start Date] – [Insert End Date]
Prepared by: [Insert Name and Position]
Submission Date: [Insert Date]
Report Reference: SDCAL-[MonthYear]


1. Overview

This report documents the routine data cleaning and audit activities carried out within SayPro’s data systems. These processes are critical to ensuring data integrity, accuracy, and usability across various platforms and monitoring tools.


2. Data Cleaning Summary

DateDataset NamePlatformCleaning ActivityRecords ReviewedRecords ModifiedErrors FoundAction Taken
May 2, 2025LMS Attendance DataSayPro LMSRemoved duplicates, standardized names52038Inconsistent names, null valuesManual correction, nulls flagged
May 6, 2025GPT Prompt ArchiveSayPro GPT ExtractorCategorization and relevance check10024Incorrect tagsTags corrected, extractor rules updated
May 9, 2025Stakeholder DirectoryCRM SystemContact field validation31245Outdated emailsUpdated via verification emails
May 13, 2025M&E Field ReportsSayPro M&E SystemFormat standardization8910Inconsistent indicator formatsTemplates revised and reissued

3. Audit Activities Summary

Audit DateDataset/System AuditedAudit Tool UsedKey Issues IdentifiedCompliance RatingRecommendations
May 5, 2025SayPro LMS Data LogsInternal Audit Checklist v2.4Delayed log updates in some courses92%Auto-schedule logs for real-time update
May 11, 2025Project Indicator TrackingM&E TrackerData gaps in Q1 inputs88%Enforce monthly indicator submissions
May 14, 2025User Registration LogsWebsite CMSMissing demographic fields95%Add mandatory input validation

4. Data Integrity Score

  • Overall Data Quality Rating: 93.5%
  • Issues Resolved This Period: 117
  • Pending Issues: 14 (Under review or awaiting field confirmation)
  • Priority Risk Level: Low

5. Observations & Recommendations

  • Data accuracy has improved due to routine cleaning cycles.
  • Majority of issues stem from incomplete field entries or manual data upload errors.
  • Recommendation:
    • Introduce dropdowns and field limits on all online forms.
    • Schedule monthly cross-platform data reconciliation checks.
    • Assign data focal points per department for better response time.

6. Sign-Off

Submitted by:
[Full Name]
[Position]
Signature: ______________________
Date: [Insert Date]

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