The Data Governance training provides participants with a comprehensive overview of how to properly govern data within an organization so that it supports the organization's goals while ensuring compliance with rules and standards. The [...]
  • GOC672
  • Duration 3 days
  • 30 ITK points
  • 5 terms
  • ČR (27 000 Kč)

    SR (1 080 €)

  • Beginner

The Data Governance training provides participants with a comprehensive overview of how to properly govern data within an organization so that it supports the organization's goals while ensuring compliance with rules and standards. The training explains the fundamental principles of data governance, the tools and technologies that support Data Governance, and also introduces best practices and strategies for their effective implementation. Each day of the training dedicates time to answering participants' questions, to discussions, and to group activities in order to facilitate the understanding of complex data governance concepts. The goal is for participants to leave with a clear understanding of how to handle production corporate data and how to improve Data Governance programs within their organizations.

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  • Understand the fundamental concepts and significance of Data Governance
  • Get familiar with the main components of Data Governance, such as data quality, data modeling, metadata, and reference data management
  • Learn what the roles and responsibilities within a Data Governance program are
  • Learn how to build an effective Data Governance program through strategic planning and policy development
  • Get familiar with the technologies and tools supporting Data Governance
  • Understand how to integrate Data Governance with existing data ecosystems
  • Learn the best practices for the successful implementation and sustainability of a Data Governance program
  • Data professionals who want to get familiar with the principles and practice of data governance within an organization.
  • Staff in Data Steward and Data Owner roles who are responsible for the management and quality of corporate data.
  • Managers and architects who want to establish or improve a Data Governance program within their organization.
1 Introduction to Data Governance
  • Get familiar with the fundamental concepts and significance of Data Governance
  • Gain an overview of the main components of Data Governance, including data quality, data modeling, metadata, and reference data management
  • Understand the roles and responsibilities within a Data Governance program (e.g., Data Stewards, Data Owners)
  • Learn how to build an effective Data Governance program: strategic planning and policy development
  • Hands-on exercise: identifying goals and key performance indicators (KPIs) for Data Governance within your organization
2 Technologies and Tools for Data Governance
  • Gain an overview of the technologies and tools supporting Data Governance, including systems for metadata management and data quality
  • Understand how to integrate Data Governance systems with existing data ecosystems (e.g., Data Warehouses, Data Lakes)
  • Hands-on exercise: using tools to analyze and improve data quality
  • Case study: implementing a Data Governance tool within an organization
3 Implementation and Sustainability of Data Governance
  • Get familiar with best practices for the successful implementation and sustainability of a Data Governance program
  • Learn how to address the challenges and obstacles in adopting Data Governance
  • Workshop: creating an action plan for adopting Data Governance within your organization
  • Discussion: maintaining engagement and ensuring compliance with changes in regulation and business
  • Closing discussion and feedback: sharing ideas, questions, and concerns about the future of Data Governance
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