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?

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