Join Jonathan Reichental for an in-depth discussion in this video Data governance focus areas, part of Learning Data Governance.
- You may be concerned…that some of what you've already learned…about data governance sounds like or overlaps…with other processes in your organization.…Let's recognize that.…The previous video discussed…some broad foundational principles of data governance.…Now let's drill down further into specific,…core focus areas.…For this I will address policy, quality,…compliance, and business intelligence.…
Policy is likely the area that you think most about…when you consider data governance.…In data governance,…we define policy as a set of guidelines…that are enforced by a governing body to achieve goals.…Alone, that sounds like a definition of data governance,…but we do want better data management,…so we need these guidelines.…So if we're going to have good data governance,…we'll need to focus on policy.…Each organization will need to define…their data governance policies,…since they must reflect organizational goals…and its culture and needs.…
What does data quality deal with?…We answer this by asking…whether we have confidence in the integrity of data.…
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