Master Data Management (MDM) Corporate Training Course

Edstellar's instructor-led Master Data Management (MDM) Training Program for organizations helps master the art of managing and leveraging data with our comprehensive and hands-on training. Gain expertise in the latest MDM tools, techniques, and best practices through expert-led sessions. Unlock the power of data-driven decision-making.

32 - 36 hrs
Instructor-led (On-site/Virtual)
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Master Data Management (MDM) Training

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

On-site or Online Master Data Management (MDM) Training - Get the best Master Data Management (MDM) training from top-rated instructors to upskill your teams.

Master Data Management (MDM) Training Program is an invaluable resource for organizations and teams aiming to unlock the true potential of their data assets. This program empowers organizations to enhance data governance, improve data quality, and streamline business processes by providing employees with comprehensive knowledge and practical skills in MDM.

Edstellar's instructor-led Enterprise Architecture Training Program is designed to bridge the gap between data management and business objectives. By aligning master data with business strategies, organizations can make informed decisions, drive operational efficiency, and accelerate digital transformation initiatives.

How Does the Master Data Management (MDM) Training Program Benefit Organizations?

  • Enhances data governance and compliance practices
  • Improves data accuracy and integrity for more reliable insights
  • Streamlines data integration and synchronization across systems
  • Optimizes data quality and consistency for better customer experiences
  • Enables efficient data migration and consolidation during system upgrades or mergers
  • Empowers organizations to make informed strategic decisions based on trusted data
  • Equips employees with the skills to become proficient MDM practitioners

Upskill teams with Edstellar's Master Data Management (MDM) Training program to gain the knowledge and confidence for navigating complex challenges and inspire their teams. The certified trainers at Edstellar possess expertise in various domains across industries, ensuring the team receives the best-in-class Master Data Management (MDM) training tailored to match the organization's requirements.

Master Data Management (MDM) Training for Employees: Key Learning Outcomes

Develop essential skills from industry-recognized Master Data Management (MDM) training providers. The course includes the following key learning outcomes:

  • Utilize industry-leading MDM tools and technologies
  • Monitor and measure the effectiveness of MDM initiatives
  • Streamline data integration and synchronization processes
  • Implement data governance frameworks and best practices
  • Design and implement effective MDM strategies and solutions
  • Analyze and assess an organization's data management needs
  • Ensure data quality and integrity through data cleansing and validation techniques

Key Benefits of the Training

  • Get your teams trained by experienced and expert instructors 
  • Assessments to evaluate the understanding and application of the training outcomes
  • Training schedule that minimizes disruption and aligns with the operational requirements
  • Post-training support, including access to resources, materials, and doubt-clearing sessions
  • Specialized tools and cutting-edge techniques are used for driving tangible results and impact within the organizations
  • Training methodology includes a mix of theoretical concepts, interactive exercises, case studies, and group discussions
  • Flexibility in program duration, training format, and the ability to tailor the content to align with the organization's unique needs and goals

Master Data Management (MDM) Training Topics and Outline

This Master Data Management (MDM) Training curriculum is meticulously designed by industry experts according to the current industry requirements and standards. The program provides an interactive learning experience that focuses on the dynamic demands of the field, ensuring relevance and applicability.

  1. Importance of Master Data Management
    • Role of master data in organizations
    • Impact of poor master data management
  2. Challenges in Managing Master Data
    • Data duplication and inconsistency
    • Lack of data governance and standards
  3. Benefits of Implementing MDM
    • Improved data accuracy and integrity
    • Enhanced operational efficiency
  4. Key Concepts and Terminology in MDM
    • Master data vs. transactional data
    • Data domains and data elements
  5. MDM Methodologies and Frameworks
    • Hub-and-spoke model
    • Consolidation and centralized MDM
  6. Role of MDM in Data-Driven Decision Making
    • Enabling data-driven insights
    • Supporting analytics and reporting
  1. Components of an MDM Architecture
    • Data sources and systems integration
    • Data quality and cleansing processes
  2. Hub-and-Spoke Model in MDM
    • Centralized master data hub
    • Relationship between hubs and spokes
  3. Registry-Based MDM Architecture
    • Distributed registry approach
    • Benefits and challenges of registry-based MDM
  4. Hybrid MDM Architectures
    • Combining hub-and-spoke and registry models
    • Hybrid architecture use cases
  5. Data Modeling for MDM
    • Entity relationship modeling
    • Hierarchical data models
  1. Introduction to Data Governance in MDM
    • Definition and goals of data governance
    • Relationship between data governance and MDM
  2. Establishing Data Governance Frameworks
    • Creating data governance policies and procedures
    • Defining roles and responsibilities
  3. Data Ownership and Stewardship
    • Assigning data ownership
    • Data stewardship and accountability
  4. MDM Policies and Procedures
    • Data quality standards and rules
    • Data security and access controls
  5. Data Privacy and Compliance Considerations in MDM
    • GDPR and other regulatory requirements
    • Privacy by design principles
  1. Planning an MDM Implementation Project
    • Defining project goals and scope
    • Resource allocation and timeline
  2. Data Profiling and Data Quality Assessment
    • Analyzing data quality issues
    • Profiling data sources for MDM
  3. Data Cleansing and Standardization Techniques
    • Deduplication and data matching
    • Address cleansing and standardization
  4. Data Migration Strategies in MDM
    • Extract, transform, load (ETL) processes
    • Incremental data migration approaches
  5. Integration of MDM Systems with Other Applications
    • Integration patterns and methods
    • API integration and data synchronization
  6. Change Management and Communication in MDM Implementation
    • Managing organizational change
    • Communication plans and stakeholder engagement
  1. Understanding Data Quality in MDM
    • Dimensions of data quality
    • Impact of poor data quality on MDM
  2. Data Quality Dimensions and Metrics
    • Accuracy, completeness, consistency, etc.
    • Establishing data quality metrics
  3. Data Cleansing and Enrichment Techniques
    • Cleansing data using validation rules
    • Enriching data with external sources
  4. Master Data Services (MDS) Overview
    • Features and capabilities of MDS
    • MDS as a data governance tool
  5. Leveraging MDS for Data Standardization
    • Creating and managing master data entities
    • Defining attribute hierarchies and relationships
  6. Data Stewardship and Data Quality Monitoring
    • Data steward roles and responsibilities
    • Implementing data quality monitoring processes
  1. Overview of MDM Software Tools
    • Leading MDM vendors and their solutions
    • Differentiating features of MDM tools
  2. Vendor Landscape and Comparison
    • Gartner Magic Quadrant for MDM
    • Evaluating vendor strengths and weaknesses
  3. Evaluating MDM Tool Capabilities
    • Matching and deduplication algorithms
    • Workflow and business process management
  4. Data Matching and Deduplication Techniques
    • Deterministic and probabilistic matching
    • Handling false positives and false negatives
  5. Data Governance and Workflow Management Features
    • Data stewardship workflows
    • Approval and review processes
  6. Integration Capabilities of MDM Tools
    • API integration with other systems
    • Real-time data synchronization options
  1. Overview of the MDM Component Layer Model
    • Introduction to the layered architecture
    • Interactions between different layers
  2. Data Sources and Data Ingestion Processes
    • Identifying data sources for MDM
    • Extracting and transforming data for MDM
  3. Data Transformation and Data Mapping
    • Mapping source data to master data entities
    • Data transformation rules and processes
  4. Data Storage and Data Access Layers
    • Storing master data in the MDM repository
    • Data access methods and APIs
  5. Data Presentation and User Interface Layer
    • User interface design for MDM applications
    • Self-service access to master data
  6. Integration with Business Intelligence and Analytics Systems
    • Leveraging master data for reporting and analysis
    • Integrating MDM with BI and analytics platforms
  1. Classification of Data
    • Structured data
    • Unstructured data
    • Semi-structured data
  2. Information Types
    • Customer data
    • Product data
    • Supplier data
    • Employee data
    • Financial data
    • Reference data
  3. Approaches to MDM
    • Centralized MDM approach
    • Distributed MDM approach
    • Consolidated MDM approach
    • Registry-style MDM approach
    • Coexistence MDM approach
  4. Data Classification Techniques
    • Taxonomy-based classification
    • Rule-based classification
    • Machine learning-based classification
  5. Data Integration Techniques
    • Extract, Transform, Load (ETL)
    • Enterprise Service Bus (ESB)
    • Data virtualization
    • Application programming interfaces (APIs)
  6. Data Standardization
    • Standardizing data formats
    • Normalizing data structures
    • Establishing data naming conventions

This Corporate Training for Master Data Management (MDM) is ideal for:

What Sets Us Apart?

Master Data Management (MDM) Corporate Training Prices

Elevate your team's Master Data Management (MDM) skills with our Master Data Management (MDM) corporate training course. Choose from transparent pricing options tailored to your needs. Whether you have a training requirement for a small group or for large groups, our training solutions have you covered.

Request for a quote to know about our Master Data Management (MDM) corporate training cost and plan the training initiative for your teams. Our cost-effective Master Data Management (MDM) training pricing ensures you receive the highest value on your investment.

Request for a Quote

Our customized corporate training packages offer various benefits. Maximize your organization's training budget and save big on your Master Data Management (MDM) training by choosing one of our training packages. This option is best suited for organizations with multiple training requirements. Our training packages are a cost-effective way to scale up your workforce skill transformation efforts..

Starter Package

125 licenses

64 hours of training (includes VILT/In-person On-site)

Tailored for SMBs

Most Popular
Growth Package

350 licenses

160 hours of training (includes VILT/In-person On-site)

Ideal for growing SMBs

Enterprise Package

900 licenses

400 hours of training (includes VILT/In-person On-site)

Designed for large corporations

Custom Package

Unlimited licenses

Unlimited duration

Designed for large corporations

View Corporate Training Packages

This Corporate Training for Master Data Management (MDM) is ideal for:

Master Data Management (MDM) Training Program is designed for organizations across various industries, including Corporates seeking to improve their data management practices. MDM training is beneficial for data stewards, architects, analysts, IT professionals, business analysts, governance professionals, and project managers involved in implementing and maintaining master data management solutions.

Prerequisites for Master Data Management (MDM) Training

There are no specific prerequisites for enrolling in the MDM Training Program. However, a basic understanding of data management concepts would be beneficial.

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Bringing you the Best Master Data Management (MDM) Trainers in the Industry

The instructor-led Master Data Management (MDM) Training training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Master Data Management (MDM) practices.

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