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Planning And Prioritization In Data Governance. Given today’s work environment, particularly with professions dealing with data governance, discuss how a leader’s planning and prioritization can help achieve data security and protect privacy using a data governance plan. What leadership roles and responsibilities are most important for planning and priorities in data governance? How do you decide what is a higher priority for data security and privacy? What level of support is needed for successful data governance, and how do planning and prioritization help achieve that?

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Posted on 
November 27th, 2022
Home Uncategorized Planning And Prioritization In Data Governance. Given today’s work environment, particularly with professions dealing with data governance, discuss how a leader’s planning and prioritization can help achieve data security and protect privacy using a data governance plan. What leadership roles and responsibilities are most important for planning and priorities in data governance? How do you decide what is a higher priority for data security and privacy? What level of support is needed for successful data governance, and how do planning and prioritization help achieve that?

The field of analytics and data has recently expanded significantly and is expected to continue expanding at an unprecedented rate in the near future (Sneader & Sternfels, 2020). There is no denying that digital innovations are impacting a variety of industries and helping companies that need to use data to their advantage. Data governance is required due to the inexorable growth of data in both volume and shape. A strong data governance system can benefit everyone. A well-planned data governance program that meets corporate standards and successfully controls data-related risks will benefit companies. All organizations face data quality issues at some point (Ware, 2019). Few of them are ready and capable to address data quality issues. Effective data governance can add this functionality in a way that addresses these issues and ensures that future mistakes do not occur. Effective data governance ensures data is accurate, timely and complete, and remains compliant with compliance standards. Data governance can do wonders for any organization that manages sensitive customer data and is at constant risk of data loss or data breaches (Sneader & Sternfels, 2020). Proper data governance strengthens the protection of sensitive customer and company information through regulations that do not violate data protection norms. continue…

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