Many companies have started data-related initiatives like data governance and stewardship. Implementation of these concepts has several challenges: unclear goals and scope, lack of top management and business support, defining a proper data governance framework, and implementation approach that fits a company’s needs and resources.

This masterclass demonstrates the method to design and implement a data governance operating and stewardship system that includes:

·      The operating structure
·      Governance bodies
·      Data management roles and accountabilities for multiple data management capabilities
·      Links between the roles and data management processes

The exclusive feature of this masterclass is that we will consider the implementation of data governance for various architectures and deployment options:

·      Centralized (data warehouse, data lake, and data lake house)
·      Distributed (data mesh)
·      Data fabric

During the Masterclass, we will dive into the following questions:

• What are the definitions and content of data governance (DG) and stewardship?
  • A definition of data governance and its relationship with data management
  • The definition of data stewardship and types of data stewards
  • A data governance framework and operating system
• Why does a company need a data governance framework and stewardship?
  • Business drivers and data management initiatives that require a data governance framework
  • C-Suite members and businesspeople involvement and support
  • Key benefits and common obstacles of implementing data governance
• How can a company implement a data governance framework and stewardship?
  • Key factors that influence the DG framework design
  • Differences in DG frameworks for various data architectures
  • Key data management capabilities that require a DG framework
  • DG and data stewardship principles
  • DG deliverables
  • DG regulations, including data governance and stewardship policies
  • RACI for data stewardship roles for various data management capabilities/processes
  • Requirements for DG tools
  • Different approaches to implementing a data governance framework
  • Developing a Roadmap

After completing this Masterclass, you will be able:

• Identify a company’s and key stakeholder needs in data governance
• Design a data governance framework that fits a company’s needs, resources, and data architecture
• Write and implement “Data Governance” and/or “Data Stewardship” policies and standards
• Develop a structure and RACI for data stewardship roles, including different types of data stewards, owners, users, etc.
• Map data management processes to data stewardship roles
• Identify required data governance deliverables
• Formulate requirements for data governance tools