Corporate Master Data Management (MDM) Training Course

Name: Master Data Management (MDM) Training
Availability: InStock

Edstellar's Master Data Management (MDM) instructor-led training course helps ensure the uniformity, accuracy, stewardship, and semantic consistency of an organization's shared master data assets. Elevate your team's skills and knowledge in data management with this essential MDM training.

Duration

32 - 36 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

View Course Outline Enquire Now

Looking for multiple trainings? Get a detailed quote for group training

About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Master Data Management (MDM) Corporate Training

Master Data Management (MDM) is a method that defines and manages an organization's critical data, providing a single point of reference to ensure data accuracy and consistency. For organizations, MDM is crucial as it ensures reliable, accurate, and consistent data across different business units, enhancing operational efficiency and decision-making capabilities. The need for training in this domain is paramount; a Master Data Management (MDM) training course equips professionals with the necessary skills to implement and manage MDM effectively.

The Master Data Management (MDM) instructor-led training course offered by Edstellar stands out for its comprehensive and tailored approach to learning. This course, led by industry experts with years of experience in the domain, provides a blend of virtual/onsite Master Data Management training options, catering to diverse learning preferences. Edstellar's training is characterized by its expert practical focus and a customizable curriculum to meet specific organizational needs.

Get Customized Expert-led Training for Your Teams

Customized Training Delivery

Scale Your Training: Small to Large Teams

In-person Onsite, Live Virtual or Hybrid Training Modes

Plan from 2000+ Industry-ready Training Programs

Experience Hands-On Learning from Industry Experts

Delivery Capability Across 100+ Countries & 10+ Languages

Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

Data Analysis
Data Analysis is the process of inspecting, cleansing, and modeling data to discover useful information. This skill is important for roles like data scientist and business analyst, as it drives informed decision-making and strategy development.
Data Architecture Design
Data Architecture Design involves creating blueprints for data management systems, ensuring efficient data flow and storage. This skill is important for data engineers and architects to optimize data usage and support business intelligence initiatives.
Project Management
Project Management is the process of planning, executing, and closing projects efficiently. This skill is important for roles like project manager, ensuring timely delivery and resource optimization.
Data Governance
Data Governance is the management of data availability, usability, integrity, and security. This skill is important for roles in data management, compliance, and analytics, ensuring data quality and regulatory adherence.
MDM Application
Mdm Application skill involves managing and maintaining consistent data across systems. This skill is important for data analysts and IT professionals to ensure data accuracy, enhance decision-making, and streamline operations.
Strategic Alignment
Strategic Alignment is the process of ensuring that an organization's goals and strategies are in sync. this skill is important for leadership roles, as it drives cohesive decision-making and resource allocation, enhancing overall organizational effectiveness.

What Your Team Will Achieve After This Training

Analyze master data to identify and correct inconsistencies, thereby enhancing data quality and reliability
Design and maintain an effective data architecture that aligns with the organization's goals and data strategy
Lead MDM projects, demonstrating project management skills and a deep understanding of data governance
Apply MDM principles to real-world scenarios, improving data integrity and supporting strategic business initiatives
Utilize advanced MDM tools and techniques to streamline data management and improve organizational data flows
Collaborate with various departments to implement MDM best practices, fostering a unified approach to data management

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

Introduction to Master Data Management (MDM)

Importance of Master Data Management
- Role of master data in organizations
- Impact of poor master data management
Challenges in Managing Master Data
- Data duplication and inconsistency
- Lack of data governance and standards
Benefits of Implementing MDM
- Improved data accuracy and integrity
- Enhanced operational efficiency
Key Concepts and Terminology in MDM
- Master data vs. transactional data
- Data domains and data elements
MDM Methodologies and Frameworks
- Hub-and-spoke model
- Consolidation and centralized MDM
Role of MDM in Data-Driven Decision Making
- Enabling data-driven insights
- Supporting analytics and reporting

MDM Architecture and Data Models

Components of an MDM Architecture
- Data sources and systems integration
- Data quality and cleansing processes
Hub-and-Spoke Model in MDM
- Centralized master data hub
- Relationship between hubs and spokes
Registry-Based MDM Architecture
- Distributed registry approach
- Benefits and challenges of registry-based MDM
Hybrid MDM Architectures
- Combining hub-and-spoke and registry models
- Hybrid architecture use cases
Data Modeling for MDM
- Entity relationship modeling
- Hierarchical data models

Data Governance and MDM Policies

Introduction to Data Governance in MDM
- Definition and goals of data governance
- Relationship between data governance and MDM
Establishing Data Governance Frameworks
- Creating data governance policies and procedures
- Defining roles and responsibilities
Data Ownership and Stewardship
- Assigning data ownership
- Data stewardship and accountability
MDM Policies and Procedures
- Data quality standards and rules
- Data security and access controls
Data Privacy and Compliance Considerations in MDM
- GDPR and other regulatory requirements
- Privacy by design principles

MDM Implementation and Integration

Planning an MDM Implementation Project
- Defining project goals and scope
- Resource allocation and timeline
Data Profiling and Data Quality Assessment
- Analyzing data quality issues
- Profiling data sources for MDM
Data Cleansing and Standardization Techniques
- Deduplication and data matching
- Address cleansing and standardization
Data Migration Strategies in MDM
- Extract, transform, load (ETL) processes
- Incremental data migration approaches
Integration of MDM Systems with Other Applications
- Integration patterns and methods
- API integration and data synchronization
Change Management and Communication in MDM Implementation
- Managing organizational change
- Communication plans and stakeholder engagement

Data Quality and Master Data Services

Understanding Data Quality in MDM
- Dimensions of data quality
- Impact of poor data quality on MDM
Data Quality Dimensions and Metrics
- Accuracy, completeness, consistency, etc.
- Establishing data quality metrics
Data Cleansing and Enrichment Techniques
- Cleansing data using validation rules
- Enriching data with external sources
Master Data Services (MDS) Overview
- Features and capabilities of MDS
- MDS as a data governance tool
Leveraging MDS for Data Standardization
- Creating and managing master data entities
- Defining attribute hierarchies and relationships
Data Stewardship and Data Quality Monitoring
- Data steward roles and responsibilities
- Implementing data quality monitoring processes

MDM Tools and Technologies

Overview of MDM Software Tools
- Leading MDM vendors and their solutions
- Differentiating features of MDM tools
Vendor Landscape and Comparison
- Gartner Magic Quadrant for MDM
- Evaluating vendor strengths and weaknesses
Evaluating MDM Tool Capabilities
- Matching and deduplication algorithms
- Workflow and business process management
Data Matching and Deduplication Techniques
- Deterministic and probabilistic matching
- Handling false positives and false negatives
Data Governance and Workflow Management Features
- Data stewardship workflows
- Approval and review processes
Integration Capabilities of MDM Tools
- API integration with other systems
- Real-time data synchronization options

MDM Component Layer Model

Overview of the MDM Component Layer Model
- Introduction to the layered architecture
- Interactions between different layers
Data Sources and Data Ingestion Processes
- Identifying data sources for MDM
- Extracting and transforming data for MDM
Data Transformation and Data Mapping
- Mapping source data to master data entities
- Data transformation rules and processes
Data Storage and Data Access Layers
- Storing master data in the MDM repository
- Data access methods and APIs
Data Presentation and User Interface Layer
- User interface design for MDM applications
- Self-service access to master data
Integration with Business Intelligence and Analytics Systems
- Leveraging master data for reporting and analysis
- Integrating MDM with BI and analytics platforms

Classification, Information Types, and Approaches to MDM

Classification of Data
- Structured data
- Unstructured data
- Semi-structured data
Information Types
- Customer data
- Product data
- Supplier data
- Employee data
- Financial data
- Reference data
Approaches to MDM
- Centralized MDM approach
- Distributed MDM approach
- Consolidated MDM approach
- Registry-style MDM approach
- Coexistence MDM approach
Data Classification Techniques
- Taxonomy-based classification
- Rule-based classification
- Machine learning-based classification
Data Integration Techniques
- Extract, Transform, Load (ETL)
- Enterprise Service Bus (ESB)
- Data virtualization
- Application programming interfaces (APIs)
Data Standardization
- Standardizing data formats
- Normalizing data structures
- Establishing data naming conventions

Who Should Attend?

This program suits professionals at many levels across the organization, including:

Data Managers
Data Governance Specialists
Data Stewards
IT Managers
Information Architects
Database Administrators
Data Quality Managers
Data Analysts
Business Analysts
Enterprise Architects
Data Integration Specialists
Data Scientists

What are the Prerequisites?

The Master Data Management (MDM) training can be taken by professionals with a basic understanding of database concepts, and familiarity with business processes.

Request a Quote for your Corporate Training Requirements

Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual Master Data Management (MDM) Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide

Standardized content for consistent outcomes

Join from own workspace, no travel

We scale to large groups across sites

Interactive tools keep remote learners engaged

View Pricing Options

Enquire now

On-site Master Data Management (MDM) Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office

We tailor setup/content to your workplace and tools

Group exercises drive collaboration

Live demos + hands-on practice

Direct trainer access to clarify doubts

View Pricing Options

Enquire now

Off-site Master Data Management (MDM) Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice

Built-in group activities for bonding

Full uninterrupted schedule for focus/retention

Boosts morale and signals commitment

View Pricing Options

Enquire now

What Sets Edstellar Apart

Experienced Trainers

Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

Proven Quality

With a strong global track record, Edstellar is known for quality and engaging delivery.

Industry-Relevant Curriculum

Our programs are built by experts to match the demands of today's industry.

Fully Customizable

Every program can be tailored to your organization's goals.

Comprehensive Support

We provide pre- and post-session support for a complete learning experience.

Global Multi-Location & Multilingual Training Delivery

We deliver in multiple languages to support diverse global teams.

Hear from Organizations We've Trained

"The Master Data Management (MDM) training provided me with comprehensive capabilities that elevated my expertise. As a Lead Analytics Engineer, I needed to understand advanced methodologies deeply, and this course practical simulations gave me hands-on experience with industry best practices. The knowledge gained has been immediately applicable to mission-critical projects and initiatives. Highly recommend for anyone serious about this field.”

Tobias Cunningham

Lead Analytics Engineer,

Leadership Development Platform

"The Master Data Management (MDM) training enhanced my ability to architect and implement sophisticated professional expertise strategies. Understanding practical applications through intensive real-world case studies exercises proved enterprise initiatives. Our project success rate and profitability increased dramatically within the quarter. The detailed exploration of hands-on exercises provided methodologies I leverage in every engagement.”

Giacomo Ferrari

Senior Machine Learning Engineer,

Strategic Management Company

"This Master Data Management (MDM) course provided our team with comprehensive strategic frameworks capabilities we immediately put into practice. As a Lead Data Scientist managing complex strategic implementation that significantly enhanced our delivery capacity. We've successfully deployed these methodologies across all regional operations centers. The training fundamentally improved our team's performance metrics and overall efficiency.”

Rahim Bakr

Lead Data Scientist,

Organizational Excellence Platform

“Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

Aditi Rao

L&D Head,

A Global Technology Company

Recognition That Motivates Your Team

Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

Corporate Master Data Management (MDM) Training Course

Drive Team Excellence with Master Data Management (MDM) Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

Introduction to Master Data Management (MDM)

MDM Architecture and Data Models

Data Governance and MDM Policies

MDM Implementation and Integration

Data Quality and Master Data Services

MDM Tools and Technologies

MDM Component Layer Model

Classification, Information Types, and Approaches to MDM

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

Other Related Corporate Training Courses

Explore More Courses