Corporate Master Data Management (MDM) Training Course

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.

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

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Drive Team Excellence with Master Data Management (MDM) Training for Employees

Empower your teams with expert-led on-site/in-house or virtual/online Master Data Management (MDM) Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Master Data Management (MDM)corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Master Data Management (MDM) group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

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.

Key Skills Employees Gain from Master Data Management (MDM) Training

Master Data Management (MDM) skills corporate training will enable teams to effectively apply their learnings at work.

  • Data Analysis
  • Data Architecture Design
  • Project Management
  • Data Governance
  • MDM Application
  • Strategic Alignment

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

Edstellar’s Master Data Management (MDM) training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Master Data Management (MDM) workshop, teams will to master essential Master Data Management (MDM) and also focus on introducing key concepts and principles related to Master Data Management (MDM) at work.


Employees who complete Master Data Management (MDM) training will be able to:

  • 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

Key Benefits of the Master Data Management (MDM) Corporate Training

Attending our Master Data Management (MDM) classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Master Data Management (MDM) training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Master Data Management (MDM).

  • Develop analytical and problem-solving abilities crucial for identifying, analyzing, and resolving data-related issues in an organization
  • Help explore advanced MDM strategies and techniques, offering insights into innovative approaches for managing and leveraging master data effectively
  • Equip professionals with practical skills for implementing, managing, and optimizing MDM systems, essential for maintaining data integrity and facilitating smooth data operations
  • Learn MDM concepts comprehensively, and gain a deeper understanding of Master Data Management, its significance in modern organizations, and its impact on data accuracy and consistency

Master Data Management (MDM) Training Topics and Outline

Our virtual and on-premise Master Data Management (MDM) training curriculum is divided into multiple modules designed by industry experts. This Master Data Management (MDM) training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  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

Our Master Data Management (MDM) training for enterprise teams is tailored to your specific upskilling needs. Explore transparent pricing options that fit your training budget, whether you're training a small group or a large team. Discover more about our Master Data Management (MDM) training cost and take the first step toward maximizing your team's potential.

Small Group
Large Groups

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.

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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

Master Data Management (MDM) Course Completion Certificate

Upon successful completion of the Master Data Management (MDM) training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development. This certificate validates the employees' acquired skills and serves as a powerful motivator, inspiring them to further enhance their expertise and contribute effectively to organizational success.

Target Audience for Master Data Management (MDM) Training Course

Master Data Management (MDM) training course is for data analysts, data managers, IT managers, business intelligence professionals, data governance specialists, database administrators, project managers, chief data officers, and data architects.

The Master Data Management (MDM) training program can also be taken by professionals at various levels in the organization.

Master Data Management (MDM) training for managers

Master Data Management (MDM) training for staff

Master Data Management (MDM) training for leaders

Master Data Management (MDM) training for executives

Master Data Management (MDM) training for workers

Master Data Management (MDM) training for businesses

Master Data Management (MDM) training for beginners

Master Data Management (MDM) group training

Master Data Management (MDM) training for teams

Master Data Management (MDM) short course

Prerequisites for Master Data Management (MDM) Training

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

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

The instructor-led Master Data Management (MDM) 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) Access practices.

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Training Delivery Modes for Master Data Management (MDM) Group Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online Master Data Management (MDM) training for companies. This method has proven to be the most effective, outcome-oriented and well-rounded training experience to get the best training results for your teams.

Virtuval
Virtual

Instructor-led Training

Engaging and flexible online sessions delivered live, allowing professionals to connect, learn, and grow from anywhere in the world.

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On-Site
On-Site

Instructor-led Training

Customized, face-to-face learning experiences held at your organization's location, tailored to meet your team's unique needs and objectives.

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Off-Site
Off-site

Instructor-led Training

Interactive workshops and seminars conducted at external venues, offering immersive learning away from the workplace to foster team building and focus.

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