Join Jonathan Reichental for an in-depth discussion in this video Designing the data governance process, part of Introduction to Data Governance.
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- When an organization decides that data governance…is right for them,…and fully understands the commitment and requirements,…how do they go about designing the necessary processes?…We should acknowledge that an organization…that begins a data governance capability…doesn't need to be perfect on day one.…In fact, most organizations will evolve…their data governance over a period of time.…We refer to this as the process of maturing.…In fact, we'll reference the data management maturity model…for thinking about how we plan and develop data governance.…
We established earlier that these two areas…are not the same, but they're certainly intertwined.…The data management maturity model is a product of ISACA,…a name derived from it's original title,…Information Systems Audit and Control Association,…but it's now only known as ISACA.…It's a not-for-profit professional organization…for IT governance, assurance,…and cyber security professionals.…The data management maturity model…consists of six categories of processes.…
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