How IT-centric MDM Systems See Master Data
IT-centric perspective
💻 Finished Goods Master Data Assessment
📋
Data Completeness
(25%)
•
Required Field Population
(40%)
•
Null Value Management
(30%)
•
Default Value Handling
(30%)
🎯
Data Accuracy
(30%)
•
Data Type Validation
(35%)
•
Format Standardization
(25%)
•
Range & Constraint Validation
(25%)
•
Reference Data Integrity
(15%)
🔄
Data Consistency
(20%)
•
Cross-System Synchronization
(40%)
•
Duplicate Record Management
(30%)
•
Data Standardization
(30%)
⏰
Data Timeliness
(15%)
•
Data Freshness
(50%)
•
Update Frequency
(30%)
•
Processing Latency
(20%)
✅
Data Validity
(10%)
•
Business Rule Compliance
(60%)
•
Schema Validation
(40%)
How ZMDM sees Master Data
Business-focused perspective across supply chain, manufacturing, and commerce
🏢 Finished Goods Master Data Assessment
🏷️
Sales Readiness
(15%)
•
Category Management
(40%)
Primary Category
Sub-Category
Product Family
•
Brand & Portfolio Structure
(35%)
•
Regulatory & Compliance Classification
(25%)
💰
Finance Readiness
(20%)
•
Cost Structure Accuracy
(35%)
•
Pricing Architecture
(40%)
•
Revenue Recognition Mapping
(25%)
🚛
Supply Chain
(18%)
•
Sourcing & Procurement Data
(35%)
•
Inventory Planning Parameters
(40%)
•
Distribution & Logistics
(25%)
🏭
Manufacturing & Production
(15%)
•
Production Planning Data
(40%)
•
Quality & Compliance Standards
(35%)
•
Manufacturing Constraints
(25%)
📦
Logistics
(12%)
•
Dimensional & Weight Specifications
(40%)
•
Material & Performance Properties
(35%)
•
Packaging & Handling Requirements
(25%)
🛒
Digital Commerce & Customer Experience
(12%)
•
Product Content & Digital Assets
(45%)
•
Customer Journey Optimization
(30%)
•
Multi-Channel Commerce Management
(25%)
🔍
Search Marketing & Discoverability
(8%)
•
SEO & Search Taxonomy
(40%)
•
Content Optimization & Performance
(35%)
•
Paid Search & Advertising Integration
(25%)