TDWI Data Governance Fundamentals: Managing Data as an Asset Training in Norway

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

Data is a critical resource for every organization. We depend on data every day to keep records, produce reports, deliver information, monitor performance, make decisions, and much more. The data resource is on par with financial and human resources as a core component of doing business, yet data management practices are often quite casual. Data governance brings the same level of discipline to data management as is typical when managing financial and human resources.

Building a data governance program is a complex process that focuses people, processes, policies, rules, and regulations to achieve specific goals for a managed data resource. Successful and effective data governance depends on clear goals and well executed activities that match governance practices to your organization’s needs, capabilities, and culture. A continuously evolving program is necessary to keep pace with trends such as cloud services, big data, and agile development. This course provides fundamental understanding of data governance concepts and techniques that is essential to start a new governance program or evolve an existing program.  

There are no prerequisites for this course.

Data quality and data governance professionals; BI/DW managers, architects, designers, and developers; data stewards, data architects, and data administrators; anyone with a role in data governance or data quality management

  • Definitions and dimensions of data governance
  • Key considerations and challenges in building a data governance program
  • The practices, roles, skills, and disciplines essential to data governance
  • The qualities that make good data stewards and stewardship organizations
  • The processes of developing, executing, and sustaining data governance
  • Activities, issues, and options when building a data governance program
  • How maturity models are applied for data governance
  • The importance of adapting data governance for trends such as big data, cloud services, and agile development methods

  • Module One: Data Governance Concepts 
  • Defining Data Governance
    • Governance defined
    • Applying governance to data
    • The data-to-value chain
    • Governance through the information lifecycle
    • Why govern data?
  • Dimensions of Data Governance
    • People – organizations and individuals
    • Processes – defining, creating, and using data
    • Goals – quality, standardization, consolidation, compliance, usefulness
    • Constraints – standards, policies, procedures, rules, regulations, controls
  • Data Governance Challenges
    • What data to govern?
    • Who governs data?
    • Where, when, and how to get started?
    • How to fund data governance? How to staff data governance?
  • Fostering Participation
    • Participation and resistance
    • Awareness
    • Perception of value
    • Providing services
  • Module Two: Data Governance Organizations
  • Positioning Data Governance in the Enterprise
    • Connecting business strategy, information management programs, and data governance
  • Governance and Management Practices
    • Responsibility, accountability, & authority
    • Decision rights
    • Horizontal management in vertical organizations
  • Data Governance Roles
    • Data Ownership
    • Data Stewardship
    • Data Custodianship
    • Stakeholders
  • Data Governance Skills and Disciplines
    • Data architecture
    • Data definition
    • Metadata management
    • Issue resolution
  • Module Three: Data Stewardship
  • Stewardship Concepts
    • Responsibilities and accountabilities
    • Goals, purpose, and results
  • Stewardship Organizations
    • Kinds of data stewards
    • Stewardship and data domains
    • Councils, committees, and other organizational structures
  • Stewardship Skills and Knowledge
    • People skills – communication, facilitation, consensus building, etc.
    • Data skills – definition, naming, modeling, etc.
    • Business knowledge – business domain, data domain, rules, regulations, etc.
    • Governance knowledge – goals, standards, processes, procedures, etc.
  • Module Four: Data Governance Processes
  • Governance and Management
    • The processes of governing data
  • Data Management Processes
    • Stewardship of data
  • Program Development Processes
    • Policy alignment
    • Establishing decision rights
    • Designating accountabilities and responsibilities
    • Defining goals and measures
  • Program Operation Processes
    • Stakeholder support
    • Communication and training
    • Measurement and monitoring
    • Technology alignment
  • Program Sustaining Processes
    • Scope and priorities management
    • Issues management
  • Program Growth Processes
    • Change management
    • Capabilities development
  • Module Five: Building a Data Governance Program
  • Getting Started
    • Where to begin?
    • How much data?
    • How much governance?
    • What do you already have?
    • Top-down or bottom-up?
  • Planning & Preparation
    • The business case
    • Program charter
  • Building the Team
    • Organizational structure
    • Participants & roles
    • Responsibilities & accountabilities
    • Communication & coordination
  • Building the Infrastructure
    • Technology – metadata, wikis, portals, etc.
    • Standards – for processes, documents, deliverables, etc.
    • Services – for data providers, for data consumers, for system developers, etc.
  • Executing Governance
    • Program execution
    • Planning and executing projects
    • Supporting projects
    • Day-to-day governance
  • Module Six: Evolving Data Governance
  • Modernizing and Maturing Data Governance
    • Responding to change
    • Maturity models
  • Cloud Data Governance
    • Changing the data governance landscape
    • Data security and privacy in the cloud
    • Governance considerations
  • Big Data Governance
    • Big data sources
    • Governance considerations
  • Agile Data Governance
    • Agile teams
    • Agile considerations
    • Governing with agility
  • Module Seven: Summary and Conclusion
    • Summary of Key Points
    • References & Resources
    • Appendix A: Bibliography and References
    • Appendix B: Tools and Templates
      • Data Governance Motivations (Assessment)
      • Decision Rights (Template)
      • Data Stewardship Needs (Assessment)
      • Data Stewardship Skills (Assessment)
      • Stakeholder Census (Assessment)
      • Data Governance Program Charter (Template)


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Norway facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
22 november 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
24 november 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
27 november 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
22 november 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
03 januar 2025
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
24 november 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
27 november 2024
Oslo, Bergen, Trondheim
1 Day
Classroom / Virtual Classroom
20 januar 2025
Oslo, Bergen, Trondheim
1 Day
TDWI Data Governance Fundamentals: Managing Data as an Asset Training Course in Norway

The Nordic country Norway, is in Northern Europe. Known for its stunning natural beauty, including fjords, mountains, and forests, Norway is also famous for its high standard of living and strong social welfare system. Norway's capital and largest city is Oslo. Tromsø, Bergen, Trondheim and Stavanger are the other tourist attracting cities of Norway.

Norway is a constitutional monarchy with King Harald V as the head of state. The country has a population of 5,425,270 as of January 2022. Norway is a relatively small country and has a relatively low population density, with much of its land area covered by forests, mountains, and fjords. Despite its small size, Norway is known for its rich cultural heritage, strong economy, and stunning natural beauty, which attracts millions of visitors every year. This Nordic country is also known for its winter sports, such as skiing and snowboarding, and is a popular destination for outdoor enthusiasts.

Norway has a long history of invention and is home to numerous more top-tier tech firms and research facilities, such as; Kongsberg Gruppen, Telenor, Atea, Evry and Gjensidige Forsikring.

Due to the country's high latitude, there are large seasonal variations in daylight. From late May to late July, the sun never completely descends beneath the horizon. Which attracts many tourists around the world to see the "Land of the Midnight Sun". Tourists mainly visit Sognefjord, Norway's Largest Fjord, Pulpit Rock, one of the most photographed sites in Norway and of course the capital; Oslo.

Oslo is considered the business center of Norway. It is the country's largest city and the capital of Norway. The city is home to many of Norway's largest and most important companies, as well as several international organizations and research institutions. Additionally, the city is a popular tourist destination, known for its scenic location on the Oslo Fjord, its many museums and cultural attractions, and its vibrant nightlife and dining scene. Some of the most popular museums in Oslo are The Norwegian Museum of Cultural History, The Nobel Peace Center, The National Museum of Art, Architecture, and Design, The Munch Museum and The Vigeland Museum.
By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.