Join Jonathan Reichental for an in-depth discussion in this video Data governance definition and basics, part of Introduction to Data Governance.
- Data is important to our organizations. For example, let's agree that sales data is vital in a for-profit business including who buys your products and services, when they buy them, how often, and where. Without this data, an organization is blind to market behavior. It won't have the necessary information to upsell or to find new customers. If we run a health care organization, important data include health outcomes and costs.
If we produce a smartphone app, we have to think of data sets that include information about how many people are using this app, what they like about it, and are we charging the right price. When we handle sensitive data, what are the regulatory and legal requirements? Using data to inform our organizational decision-making is called data management or information management. These terms can be used interchangeably. In this course we'll use data management.
Simply put, to some degree all organizations take advantage of data management. However, we must ask ourselves if we understand and manage our data correctly, and if we are getting the most value from it. Every organization falls somewhere along a continuum where weak data management is on one end and high-performance data management is on the other. Where your data management performance falls is in how well you govern the management of data. In trying to achieve high performance in managing our organizational data, we must ask whether there are agreed policies and processes, accountabilities, formal decision structures, and enforcement rules in that management.
The implementation of these types of qualities is called data governance. At a high level we'll define data governance as data that is managed well. This definition also helps us to clarify that data management and data governance are not the same thing. Managing data is concerned with the use of data to make good business decisions and ultimately run organizations. Data governance is concerned with the degree to which we use disciplined behavior across our entire organization in how we manage that data.
It's an important distinction. So what's the bottom line? Most organizations manage data, but far fewer govern those management techniques well.
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