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Master and Reference Data Management Plan

Enterprise master data management (MDM) and reference data governance plan establishing golden record deduplication, survivorship rules, deterministic and probabilistic entity resolution, and canonical code harmonization.

TEMPLATE // INSPECT: TPL-AIM-011MODIFIED: 2026-09-19
CATEGORYData, AI & Machine Learning
VERSIONv1.0.0
RISK LEVELMEDIUM
ARTIFACT CLASSDOC
FORMATSDOCX, PDF, MD, MERMAID, SVG
AI & EXECUTIVE SUMMARY

Master data governance charter defining entity resolution algorithms, survivorship heuristics, reference code taxonomies, and golden record distribution pipelines across enterprise systems.

Important Tech Document Template & Operational Notice

TinyCTO.tv Tech Document Template Notice: This template is a general educational and operational starting point. It is not legal, tax, accounting, investment, procurement, regulatory, security or certification advice. Requirements vary by jurisdiction, organization, contract and risk. Review and adapt it with qualified professionals before relying on it.

Problem Solved

Siloed applications create fragmented duplicate customer, vendor, and product records with conflicting information, making unified financial accounting, customer support, and compliance reporting impossible.

When to Use

  • Consolidating fractured customer or vendor databases following corporate mergers or platform migrations
  • Implementing a single source of truth (Customer 360, Product 360) across enterprise CRM, ERP, and billing
  • Harmonizing enterprise reference codes (country codes, currency codes, industry classifications)

When NOT to Use

  • For short-lived streaming telemetry data or transient IoT sensor readings
  • For purely analytical clickstream and event-log storage (use TPL-AIM-005)

5 Template Sections & Structural Outline

1. 1. Master Entity Scope & Conceptual Domain Modelsstandard, enterprise

Defining core entities: Party (Customer, Contact, Employee), Product, Supplier, and Financial Account.

Guidance:Clearly delineate between analytical data warehouses and operational master data hubs.
2. 2. Entity Resolution, Match & Merge Algorithmsstandard, enterprise

Deterministic matching (exact tax ID, email) vs probabilistic matching (Jaro-Winkler, Levenshtein distance).

Guidance:Require human data steward review for probabilistic match confidence scores between 75% and 89%.
3. 3. Golden Record Survivorship Rulesstandard, enterprise

Field-level conflict resolution (most recent, most frequent, highest authority source system).

Guidance:Designate the CRM as authoritative for billing address, but ERP as authoritative for tax and payment terms.
4. 4. Reference Data Governance & Canonical Taxonomiesstandard, enterprise

Management of static lookup tables (ISO-3166 countries, currency codes, status state machines).

Guidance:Enforce an automated registry that forbids application teams from hardcoding custom status enumerations.
5. 5. Syndication, CDC & Bidirectional Synchronizationstandard, enterprise

Publishing golden record events via Kafka/webhooks back to subscribing operational systems.

Guidance:Ensure loopback detection so subscribing systems do not re-emit updates received from the MDM hub.

Completion Instructions

1. Review blank document. 2. Adapt worked scenario to company scale. 3. Validate against review checklist.

Independent Review Checklist

  • All mandatory sections completed
  • No secrets or passwords included
  • Executive sponsor sign-off obtained
WORKED SCENARIO SHOWCASE

Master and Reference Data Management Plan - Worked Case Study

Fictional Entity: Global Logistics Corp Master Data & Customer 360 Program

Real-world production case study demonstrating complete operational adoption for Global Logistics Corp Master Data & Customer 360 Program.

Key Highlights & Outputs:
  • Consolidated 1.4 million duplicate customer records into 620,000 verified golden profiles
  • Configured deterministic matching rules that automated 84% of record merges without human intervention
  • Eliminated billing address delivery failures, recovering $1.8M in delayed receivables annually

Frequently Asked Questions

What is the Fellegi-Sunter method of entity resolution?

The Fellegi-Sunter method is the foundational mathematical model for probabilistic record linkage. It assigns likelihood weights to agreeing and disagreeing fields (e.g. slight typographical variations in customer names or addresses) to classify pairs as matches, non-matches, or potential matches requiring human review.

How does survivorship logic work when building a golden record?

Survivorship rules determine which source system wins when attributes conflict. For example, a customer name might survive from the KYC system, the billing address from the ERP, and the telephone number from the mobile app (most recent update).

What is the difference between master data and reference data?

Master data represents core business entities that participate in transactions (customers, products, vendors). Reference data represents allowable values and categorizations used to classify other data (country codes, currency symbols, order status codes).

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TPL-AIM-011-Master-and-Reference-Data-Management-Plan-Blank-EN.docxDOCX
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TPL-AIM-011-Master-and-Reference-Data-Management-Plan-Example-EN.docxDOCX
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TPL-AIM-011-Ana-Veri-ve-Referans-Veri-Yonetimi-MDM-Plani-Bos-TR.docxDOCX
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TPL-AIM-011-Ana-Veri-ve-Referans-Veri-Yonetimi-MDM-Plani-Ornek-TR.docxDOCX
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TPL-AIM-011-Master-and-Reference-Data-Management-Plan-Blank-EN.mdMD
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TPL-AIM-011-Master-and-Reference-Data-Management-Plan-Example-EN.mdMD
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TPL-AIM-011-Ana-Veri-ve-Referans-Veri-Yonetimi-MDM-Plani-Bos-TR.mdMD
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TPL-AIM-011-Ana-Veri-ve-Referans-Veri-Yonetimi-MDM-Plani-Ornek-TR.mdMD
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TPL-AIM-011-Master-and-Reference-Data-Management-Plan-Blank-EN.pdfPDF
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TPL-AIM-011-Master-and-Reference-Data-Management-Plan-Example-EN.pdfPDF
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TPL-AIM-011-Ana-Veri-ve-Referans-Veri-Yonetimi-MDM-Plani-Bos-TR.pdfPDF
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TPL-AIM-011-Ana-Veri-ve-Referans-Veri-Yonetimi-MDM-Plani-Ornek-TR.pdfPDF
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