master-data-quality-manager

Solid

Supply chain master data quality monitoring and improvement skill

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Master Data Quality Manager ## Overview The Master Data Quality Manager provides supply chain master data quality monitoring, validation, and improvement capabilities. It ensures data accuracy across item, supplier, location, and BOM master data to support reliable supply chain operations and analytics. ## Capabilities - **Item Master Data Validation**: Product data completeness and accuracy - **Supplier Master Data Cleansing**: Vendor data quality improvement - **Location/Plant Data Verification**: Facility data accuracy - **BOM Accuracy Checking**: Bill of materials validation - **Lead Time Validation**: Lead time data accuracy assessment - **Data Completeness Scoring**: Missing data identification - **Duplicate Detection**: Redundant record identification - **Data Quality Trending**: Quality metric tracking over time ## Input Schema ```yaml data_quality_request: data_domains: item_master: boolean supplier_master: boolean location_master: boolean bom_master: boolean lead_time: boolean validation_rules: completeness_rules: array accuracy_rules: array consistency_rules: array timeliness_rules: array data_sources: erp_system: string extract_files: array quality_thresholds: critical_fields: object acceptable_error_rate: float ``` ## Output Schema ```yaml data_quality_output: quality_scorecard: overall_score: float by_domain: object item_master: completeness: float accuracy: flo...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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