Learn how to put a data governance program in place at your organization, to help ensure the consistent quality, availability, integrity, and usability of your data.
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- Hi, thanks for taking the time to learn about data governance. Done right, data governance can help all types of organizations and people be more successful. As data science grows in its importance in the 21st Century, so do a whole range of related frameworks and skills. I'm Joanthan Reichental, and this is my Introduction to Data Governance course. In the next 30 minutes, I'll be introducing the topic of data governance in terms that everyone can understand.
I'll help you understand why your organization may benefit from it. And if it does, how it should go about beginning to use it. I'll also discuss different roles and responsibilities in data governance. Finally, I'll share ideas on how organizations should think about managing, monitoring, and measuring in this area. If you wanna understand why data governance is an important part of helping your organization succeed with its data science effort and you want to build valuable new skills for the 21st Century, then you have chosen the right course.
So, let's get started.
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