Important levels of DGI data governance framework

Important levels of DGI data governance framework

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DGI data governance framework can be defined as logical structure designed for classification, organization as well as communication of variety of complex activities in enterprise during decision making. Every organization needs to have informed decisions concerning data management, cost minimization, realization of the data value, regulatory and control of complex risks (Boobier, 2016). In order to make these decisions, there must be DGI data framework which should be followed. This paper therefore discusses three important levels of data governance framework from data governance institute.

The first important level in DGI data governance framework is the mission to achieve. In any organization there should be a reason as to why the organization started. mission and vision to be achieved in an organization. This level has as well three parts which include rules, services and issues to resolution. The second level is the goals, funding methods, success measures formulated and governance metrics. Making the goals SMART must go hand in hand with good governance. You should ask how the goals would be achieved with the available funding strategies gearing by your efforts (Topi, & Tucker, 2014). Be attentive to vulnerabilities, risks, complexity, manage costs and increase the revenue. The third major DGI data governance framework is the data rules and definitions. Your program for success in any organization should focus on making new rules, find definitions, address the available gaps, prioritize those rules which conflicts and then establish the definitions when there is need.

In conclusion, for an organization to be successful there must be a set goal, rules and strong governance. Any organization need to manage data well, have a set of governance system capable of managing complex activities and be able to achieve goals by use of the DGI data governance framework.

References

Boobier, T. (2016). Analytics for Insurance: The Real Business of Big Data. Hoboken, NJ: John Wiley & Sons.

Topi, H., & Tucker, A. (2014). Computing Handbook, Third Edition: Information Systems and Information Technology. Boca Raton, FL: CRC Press.