Join Jonathan Reichental for an in-depth discussion in this video Monitoring and measuring your program, part of Learning Data Governance.
- It's always a good idea to establish your metrics…prior to a project or a program.…After all, how else will we measure…whether goals have been met?…It may seem obvious, but we often forget this step.…How can we tell whether our data governance capability…is delivering upon its promise?…The good news is that data governance…can be measured both qualitatively and quantitatively.…Here I'll describe a few basic metrics.…The first metric is data value.…
Here we can define value as the importance…and usefulness of the data.…There are many ways to measure the vlaue of data.…One might be timeliness.…For example, do decision makers have accurate data…for a specific decision when it's needed?…Another example would be completeness.…That is, does the data set that is available…capture a comprehensive collection of attributes?…Or does it just tell one side of the story?…If we think about competitor data,…how much is available to help us…make decisions that can give us an edge in the marketplace?…Another metric is the number of decisions…
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