Master Data Management (MDM) Course Overview

Master Data Management (MDM) Course Overview

Unlock the power of effective data management with our Master Data Management (MDM) course. This comprehensive training equips participants with the knowledge to implement Data Governance frameworks, manage both structured and unstructured data, and understand the data lifecycle. By engaging in real-world examples, case studies, and interactive workshops, attendees will learn to develop robust Data Governance Policies and actionable plans. Key learning objectives include mastering data quality standards like ISO 8000 and effectively utilizing Enterprise Content Management Systems. By the end of the course, participants will be well-equipped to enhance their organization's data management strategy, align policies with business goals, and ensure compliance across the data lifecycle.

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575

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Course Fee 575
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575 (USD)
  • Live Training (Duration : 8 Hours)
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  • Live Training (Duration : 8 Hours)
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  • Classroom Training fee on request

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Target Audience for Master Data Management (MDM)

Master Data Management (MDM) training equips professionals with crucial skills in data governance, lifecycle management, and data quality to enhance organizational efficiency and compliance.


  • Data Analysts
  • Data Architects
  • Data Governance Managers
  • Business Analysts
  • IT Managers
  • Compliance Officers
  • Database Administrators
  • Project Managers
  • Information Security Analysts
  • Enterprise Architects
  • Quality Assurance Professionals
  • Regulatory Affairs Specialists
  • Data Stewards
  • Systems Administrators
  • Operations Managers
  • Chief Data Officers
  • IT Auditors
  • Digital Business Leaders
  • Content Managers


Learning Objectives - What you will Learn in this Master Data Management (MDM)?

Introduction
The Master Data Management (MDM) course at Koenig Solutions provides participants with essential knowledge and skills to effectively manage data governance, lifecycle, and quality standards, emphasizing the importance of structured and unstructured data management.

Learning Objectives and Outcomes

  • Understand International Data Management Standards and effective management of structured and unstructured data.
  • Implement Data Lifecycle Management (DLM) and Master Data Management (MDM) processes.
  • Gain familiarity with Data Governance IT Solutions, including ECM and document management tools.
  • Develop and create comprehensive Data Governance Policies.
  • Formulate best practices for Data Lifecycle Management Procedures.
  • Construct actionable plans for Data Governance Management.
  • Define roles and responsibilities of data stewards and governance teams.
  • Ensure compliance with legal and regulatory requirements in document and record management.
  • Learn to apply data quality standards based on ISO 8000.
  • Engage in practical exercises that reinforce learned concepts and techniques.

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