Master Data Management (MDM) Training Course

Lesson 1 • Core MDM Concepts and Terminology

Introduces golden records, survivorship, stewardship, and data domains. Provides shared vocabulary used throughout the entire course.

Lesson 2 • MDM Lifecycle Overview

Maps the end-to-end MDM lifecycle from data ingestion to distribution. Shows students how later course chapters fit into this lifecycle.

Lesson 3 • MDM Stakeholders and Organizational Roles

Identifies key roles—data owners, stewards, architects, and consumers—and their responsibilities. Prepares students to navigate MDM governance structures.

Lesson 4 • Business Drivers for MDM

Examines why organizations invest in MDM, linking data quality problems to measurable business pain. Motivates the need for structured MDM programs.

Lesson 1 • Registry Style MDM

Explains how registry-style MDM indexes master data without centralizing storage. Introduces the lightest-weight implementation pattern as a baseline.

Lesson 2 • Centralized (Transaction) Style MDM

Examines the hub as the authoritative system of record for all master data writes. Represents the most rigorous implementation pattern in the chapter.

Lesson 3 • Selecting the Right MDM Style

Provides a decision framework for matching implementation style to business maturity and goals. Synthesizes all four styles into a comparative evaluation model.

Lesson 4 • Consolidation Style MDM

Describes how consolidation MDM aggregates data into a read-only hub for analytics. Builds on registry concepts by adding a physical master store.

Lesson 1 • Hierarchies and Relationships in MDM

Explains how to model organizational, product, and geographic hierarchies. Addresses recursive relationships and multi-parent hierarchy challenges.

Lesson 2 • Reference Data Modeling

Distinguishes reference data from master data and models code lists and lookup tables. Prepares students to manage reference data as a supporting domain.

Lesson 3 • Modeling the Party Domain

Designs customer and supplier master data models using the party pattern. Demonstrates how a single model handles multiple entity subtypes.

Lesson 4 • Modeling the Product Domain

Covers product master data structures including classifications, attributes, and variants. Connects product modeling to catalog and supply chain use cases.

Lesson 1 • Data Quality Scorecards and KPIs

Designs scorecards that aggregate quality metrics into actionable dashboards. Connects quality measurement to stewardship workflows and executive reporting.

Lesson 2 • Data Profiling Techniques

Covers column, structure, and relationship profiling to expose data quality issues. Profiling results feed directly into rule design in subsequent sections.

Lesson 3 • Data Remediation and Cleansing Workflows

Builds automated and manual remediation workflows to correct quality failures. Closes the quality loop by feeding corrected data back into the MDM hub.

Lesson 4 • Data Quality Dimensions

Introduces the six core data quality dimensions: accuracy, completeness, consistency, timeliness, uniqueness, and validity. Provides the measurement framework for the chapter.

Lesson 1 • Duplicate Detection Fundamentals

Explains why duplicates arise and the business impact of unresolved duplicates. Sets the problem context before introducing technical matching solutions.

Lesson 2 • Matching Algorithms and Techniques

Covers deterministic, probabilistic, and machine-learning-based matching methods. Students select and tune algorithms appropriate to their data characteristics.

Lesson 3 • Survivorship Rules and Golden Record Creation

Designs survivorship policies that select the best attribute values across merged records. Produces the authoritative golden record that downstream systems consume.

Lesson 4 • Match Threshold Configuration

Teaches how to set and tune match score thresholds to balance precision and recall. Threshold decisions directly affect golden record quality and steward workload.

Lesson 1 • Data Policies and Standards Management

Covers authoring, publishing, and enforcing data policies and naming standards. Policies defined here are enforced by quality rules and stewardship workflows.

Lesson 2 • Data Stewardship Models

Compares centralized, federated, and hybrid stewardship operating models. Students select the model that fits their organizational structure and MDM style.

Lesson 3 • MDM Governance Framework Design

Defines the components of an MDM governance framework including policies, standards, and accountability. Provides the structural foundation for all stewardship activities.

Lesson 4 • Governance Metrics and Reporting

Designs governance dashboards that track stewardship performance and policy compliance. Reporting connects governance activities to executive-level business outcomes.

Lesson 1 • Event-Driven Master Data Distribution

Implements event streaming to propagate golden record changes to downstream systems in near real time. Extends API distribution with asynchronous publish-subscribe patterns.

Lesson 2 • MDM Integration Architecture Patterns

Surveys batch, real-time, and event-driven integration patterns for MDM hubs. Establishes the integration vocabulary and pattern catalog for the chapter.

Lesson 3 • Data Lineage and Integration Monitoring

Tracks data flow from source to golden record to consumer using lineage tools. Monitoring ensures integration pipelines meet SLAs and data arrives with quality intact.

Lesson 4 • Source System Onboarding

Covers the process of connecting a new source system to the MDM hub for ingestion. Includes mapping, transformation, and initial load procedures.

Lesson 1 • Change Management for MDM Programs

Applies change management principles to drive adoption of MDM processes and tools. Addresses resistance, training, and communication strategies for sustained success.

Lesson 2 • Vendor and Technology Selection

Provides a structured process for evaluating and selecting MDM platform vendors. Covers RFP design, proof-of-concept criteria, and total cost of ownership.

Lesson 3 • MDM Roadmap and Phasing

Designs a phased MDM roadmap that sequences domains, capabilities, and integrations. Phasing balances quick wins with long-term architectural goals.

Lesson 4 • Building the MDM Business Case

Quantifies MDM benefits and costs to construct a compelling executive business case. Connects data quality improvements to revenue, cost, and risk metrics.