Join Jonathan Reichental for an in-depth discussion in this video The principles of data governance, part of Introduction to Data Governance.
- As this is an introductory course,…we won't cover every possible principle of data governance.…Rather, I'd like to describe a small group…of the main principles.…By principles, we mean the foundational concepts…of data governance.…They are transparency, accountability and standardization.…Let's begin with the principle of transparency.…As the word suggests, in transparency,…everyone within an organization and those…who interact with the organization from the outside…should be able to clearly understand…and be advised in a timely manner…of the processes and impacts of data governance.…
Transparency is essential to avoid surprises,…to gain buy-in from all those impacted people…and to build trust in the organization.…Transparency should include being clear…on why things are being done and the value of those actions.…Data governance is a positive topic…and that means we want to be open and clear about it…throughout the life cycle of data management.…As an example, an organization should have…an information security policy…
Here Dr. Jonathan Reichental explains how to begin to implement a data governance program within any organization. Learn the components of data governance, its strategic value, the roles and responsibilities of stakeholders, and the overall steps that an organization needs to take to manage, monitor, and measure the program. Plus, get guidance on a set of next steps for building skills. As the data science domain grows, so does the demand for data governance expertise. Start here for your first look at this in-demand skill.
- What is data governance?
- Why do organizations need data governance?
- Who owns the data?
- Designing the data governance process
- Managing, maintaining, monitoring, and measuring your program