Muradamen/Integrated-Project-Maji-Ndogo-Water-Services-Part-3-

comprehensive data exploration and analysis initiative to address the critical water crisis in Maji Ndogo. The goal is to transform extensive survey data into actionable insights and sustainable solutions for improving water access and quality for affected communities. # Integrated Project — Maji Ndogo Water Services (Part 3) | Audit Verification, ERD Validation, and Strategic Insights ## 📌 Introduction This phase focuses on auditing, validating database relationships, and producing **operational recommendationsnto strengthen the reliability of the Maji Ndogo water data systems. Our aim was to ensure the integrity, accuracy, and trustworthiness of stored data, enabling confident use for decision-making and governance. ## 🎯 Objectives 1. Audit the Database: Verify that data is accurate, consistent, and free from tampering. 2. Validate the ERD: Identify and correct relationship errors between key tables (e.g., `visits` and `water_quality`). 3. ntegrate Auditor Reports: Compare auditor scores with employee-reported scores to detect anomalies. 4. Operational Insights: Summarize findings and propose improvements for water service delivery. ## 🛠 Audit Process and Findings ### 1. Audit Scope * Focused on the `auditor_report`, `visits`, `water_quality`, `employee`, and `location` tables. * Verified data entry and modification procedures** to ensure compliance with good governance principles. ### 2. Key Findings * Integrity: The majority of records were consistent and accurate. * Relationship Issue Found: The `visits` `water_quality`** relationship was incorrectly shown as many-to-one in the ERD. * In reality, `record_id` ensures **one-to-one mapping** — one visit corresponds to exactly one water quality assessment. * Score Anomalies: Some employee scores differed significantly from auditor scores (>9-point gap). * Repeat Visits: Multiple visits per `location_id` confirmed strong one-to-many relationships between `location` and `visits`. ## 📊 ERD Corrections * Corrected Relationships: `location (PK location_id)` → `visits (FK location_id)` : One-to-Many `visits (PK record_id)` → `water_quality (FK record_id)` : One-to-One✅ This correction reduces query duplication and prevents mismatched records during joins. ## 🔍 Auditor vs. Em …