CWICR Data Validator Business Case Problem Statement Data quality issues cause: - Incorrect estimates - Budget overruns - Delayed projects - Rework costs Solution Systematic validation of CWICR data and estimate inputs to catch errors, outliers, and inconsistencies before they impact projects. Business Value - Error prevention - Catch issues early - Data quality - Ensure reliable estimates - Consistency - Standard validation rules - Audit trail - Document data issues Technical Implementation Quick Start Common Use Cases 1. Data Quality Score 2. Validate DataFrame 3. Export Report Resources -…