How good data governance can ensure that downstream negative effects of poor data can be avoided

Chapter 10: From this chapter, in addition, the previous ones, we continue to enhance our knowledge and understanding about IG best business practices, and how good data governance can ensure that downstream negative effects of poor data can be avoided and subsequent reports, analyses, and conclusions based on reliable, and trusted data could be achieved.  From the risk management perspective, data governance is a critical activity that supports decision makers and can mean the difference between retaining a customer and losing one.  On the same token, protecting your business data is protecting the lifeblood of your business, and improving the quality of the data will improve decision making, foster compliance efforts, and yield competitive advantages; thence business profits would be earned.  To provide meaningful support to business owners, the Data Governance Institute has created a data governance framework, a visual model to help guide planning efforts and a logical structure for classifying, organizing, and communicating complex activities involved in making decisions about and taking action on enterprise data.

Q1: With this framework in mind that allows for a conceptual look at data governance processes, rules, and people requirements identify and name the 10 levels of the DGI Data Governance framework from the Data Governance Institute?