Executive Summary
Master data forms the foundational backbone of the SCOR model, enabling accurate planning, efficient execution, and reliable measurement across all supply chain processes. This analysis identifies 40+ critical master data elements and their specific roles across Plan, Source, Make, Deliver, Return, and Enable processes.
Master Data Criticality by SCOR Process
Master Data Distribution Across SCOR Processes
Plan Level 1
Demand/Supply Planning & Management
P1: Plan Supply Chain Level 2
P2: Plan Source Level 2
P3: Plan Make Level 2
P4: Plan Deliver Level 2
P5: Plan Return Level 2
Source Level 1
Procurement of Goods & Services
S1: Source Stocked Product Level 2
S2: Source Make-to-Order Product Level 2
S3: Source Engineer-to-Order Product Level 2
Make Level 1
Manufacturing & Production Operations
M1: Make-to-Stock Level 2
M2: Make-to-Order Level 2
M3: Engineer-to-Order Level 2
Deliver Level 1
Order Management, Warehousing & Logistics
D1: Deliver Stocked Product Level 2
D2: Deliver Make-to-Order Product Level 2
D3: Deliver Engineer-to-Order Product Level 2
Return Level 1
Reverse Logistics
D1-D3 & S1-S3: Return Processes Level 2
Enable Level 1
Supporting Processes
Cross-Process Master Data Level 2
Master Data Impact Matrix
| Master Data Element | Primary SCOR Process | Criticality | Key Dependencies | Impact of Poor Quality |
|---|---|---|---|---|
| Product/Material Master | All Processes | CRITICAL | BOM, Routing, Customer, Supplier, Pricing | Planning errors, wrong shipments, production delays, compliance failures |
| Customer Master | Plan, Deliver | CRITICAL | Pricing, Ship-to, Credit, Terms | Order errors, delivery failures, cash flow issues, customer dissatisfaction |
| Supplier/Vendor Master | Plan, Source | CRITICAL | Material, Info Records, Contracts | Procurement delays, quality issues, payment errors, compliance risks |
| BOM (Bill of Materials) | Plan, Make | CRITICAL | Material, Routing, Engineering | Wrong components, cost miscalculation, production stops, waste |
| Routing/Recipe | Plan, Make | HIGH | BOM, Work Center, Product | Inefficient production, quality defects, incorrect costing |
| Location/Site Master | Plan, All | HIGH | Organization, Capacity, Geography | Capacity planning errors, misallocated inventory, logistics failures |
| Pricing Master | Source, Deliver | HIGH | Customer, Material, Vendor | Revenue leakage, margin erosion, customer disputes |
| Work Center Master | Plan, Make | HIGH | Routing, Resource, Cost Center | Scheduling conflicts, cost inaccuracies, capacity mismatches |
| Warehouse Master | Deliver | HIGH | Location, Material, Customer | Picking errors, fulfillment delays, inventory inaccuracies |
| Carrier Master | Deliver | MEDIUM | Customer, Geography, Rates | Shipment delays, cost overruns, customer service failures |
| Quality Master | Source, Make | HIGH | Material, Vendor, Customer | Quality escapes, regulatory failures, customer complaints |
| Organization Master | Enable (All) | CRITICAL | All master data elements | System-wide failures, reporting errors, compliance violations |
Critical Insights for Business-Led Master Data Excellence
1. Master Data is the Foundation of SCOR Excellence
Every SCOR metric depends on accurate master data. Perfect Order Fulfillment Rate requires accurate customer, material, routing, and logistics data. Cash-to-Cash Cycle Time depends on supplier, payment terms, and inventory data. Without master data excellence, SCOR metrics become unreliable.
2. Product/Material Master: The Most Connected Element
The Product/Material Master touches every single SCOR process and has dependencies with 15+ other master data elements. This is why material master quality directly impacts end-to-end supply chain performance and why it must be owned cross-functionally, not just by IT.
3. Master Data Orchestration vs. Stewardship
Traditional "stewardship" treats master data as passive records to maintain. Business-led "orchestration" recognizes master data as active business rules that need continuous alignment with changing business strategies, customer requirements, and market conditions.
4. The Enable Process is Often Overlooked
Organization master, financial master, and compliance master in the Enable process are foundational dependencies for all other processes. Poor organizational hierarchies cascade into planning, sourcing, manufacturing, and delivery failures.
5. Cross-Process Dependencies Create Complexity
A single product change can trigger updates to: BOMs, routings, customer-material info, supplier source lists, pricing, quality specs, warehouse storage types, and compliance classifications. This is why manual MDM processes fail and why process orchestration is essential.
Level 3 Examples: Specific Task-Level Master Data
Example: P1.3 - Balance Supply Chain Resources with Supply Chain Requirements Level 3
Task-Specific Master Data Required:
- Capacity Master: Available capacity by resource, time period, and constraint type
- Demand Master: Forecast accuracy by product family, customer segment, and planning horizon
- Inventory Policy Master: Safety stock levels, reorder points, service level targets
- Supply Constraint Master: Raw material availability, supplier capacity limitations
- Production Calendar Master: Planned shutdowns, maintenance windows, holiday calendars
Example: M1.2 - Schedule Production Activities Level 3
Task-Specific Master Data Required:
- Production Scheduling Profile: Scheduling strategy, horizon, bucket size
- Setup Matrix: Changeover times between product variants
- Campaign Master: Production campaign rules, minimum run quantities
- Resource Availability: Labor shifts, equipment downtime, maintenance schedules
- Material Availability: Component availability dates, lead times, batch sizes
Example: D1.8 - Pick Product Level 3
Task-Specific Master Data Required:
- Storage Bin Master: Bin coordinates, pick sequence, capacity, accessibility
- Picking Strategy Master: FIFO/LIFO rules, batch picking, zone picking parameters
- Handling Unit Master: Pallet types, container specs, nesting rules
- Wave Rules Master: Wave release criteria, consolidation rules, cutoff times
- Labor Master: Picker productivity rates, zone assignments, equipment certifications
