Finished Goods Master Data Assessment
Multi-level data quality assessment with detailed component breakdown
Overall Assessment
Good Performance
82%
Data Quality Score
Target: 85% | Previous: 78%
5
Dimensions
47
Components
↑ 4%
vs Last Month
3
Action Items
Priority Actions
3 Items
⚠️
Improve price validation in ERP system
📊
Enhance real-time data freshness monitoring
🔄
Update supplier master data sync processes
Assessment Hierarchy
🏢 Finished Goods Master Data Assessment
82%
▶
📋 Data Completeness
(25%)
88%
▶
Product Information
(40%)
92%
▶
Basic Descriptions
(60%)
95%
•
Product Name
(50%)
98%
•
Short Description
(30%)
92%
•
Long Description
(20%)
94%
•
Technical Specifications
(25%)
88%
•
Marketing Content
(15%)
90%
▶
Pricing Information
(25%)
85%
•
Base Price
(50%)
90%
•
Currency & Units
(25%)
75%
•
Discount Rules
(25%)
88%
•
Category Classification
(20%)
90%
•
Supplier Information
(15%)
82%
▶
🎯 Data Accuracy
(30%)
75%
▶
Validation Rules
(35%)
82%
•
Product Code Format
(40%)
85%
•
Data Type Validation
(35%)
78%
•
Business Rule Compliance
(25%)
84%
▶
Price Accuracy
(30%)
68%
▶
Price Validation
(60%)
65%
•
Min/Max Price Checks
(50%)
60%
•
Market Price Comparison
(30%)
72%
•
Currency Conversion
(20%)
68%
•
Historical Price Trends
(40%)
72%
•
UOM Consistency
(20%)
78%
•
Attribute Correctness
(15%)
75%
▶
🔄 Data Consistency
(20%)
90%
▶
Cross-System Alignment
(40%)
88%
•
ERP-CRM Sync
(40%)
92%
•
Warehouse-ERP Sync
(35%)
85%
•
Web-Backend Sync
(25%)
86%
•
Naming Conventions
(25%)
95%
•
Format Standardization
(20%)
92%
•
Reference Data Sync
(15%)
85%
▶
⏰ Data Timeliness
(15%)
78%
▶
Data Freshness
(50%)
75%
•
Real-time Updates
(60%)
72%
•
Batch Processing
(40%)
79%
•
Update Frequency
(30%)
80%
•
Processing Delays
(20%)
82%
▶
✅ Data Validity
(10%)
85%
•
Business Rules Compliance
(45%)
88%
•
Data Type Validation
(30%)
82%
•
Range Checks
(25%)
85%