Defining The Duality Of Data Governance By Sikhakhane

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In this critique, two articles “Defining the duality of data governance” by Zweli Sikhakhane and “Data quality: Whose job is it?” by Kathleen Hickey will be summarized, compared and evaluated with Anthony Fisher’s “The Data Asset: How smart companies govern their data for business success” to analyze the key similarities and the key differences between issues surrounding data quality management (DQM) and data governance and how they relate to each other. The article “Defining the duality of data governance” by Zweli Sikhakhane explores the duality of data governance, discusses what data duality isn’t and why data duality is essential for data-centric and data-aware cultures in corporations. The article describes data governance
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Indicating to us that companies that achieve success have the proper internal protocols in place to manage their data effectively. The authors of both articles agree with this declaration by Fisher. In Hickey’s article she concludes that the relationship between who is responsible for data vs. who manages the data needs to be transparent to close the gap and improve overall quality of data. Hickey states this as a challenge that gets in the way of organizations trying to achieve success in regards to data quality management. Relating this back to Fisher, this challenge is a hurdle that must be cleared to achieve success with DQM. In Sikhakhane’s article he suggests that the success that is associated with the duality of data governance is achieved when everyone across the organization is involved making sure data is being governed correctly and in compliance with protocol. It is implicated in Sikhakhane’s article that collaboration and cohesive comprehension of everyone in the organization being in proper compliance with policy and procedures is essential for the success that Fisher describes as the connection that gels achievement of company objectives and how companies manage their …show more content…
For example, Fisher states that corporate leaders are still being harmed by poorly managed, deficient or inaccessible data. He states that the quality, accessibility, and usability of data have an impact on every organization, but the issue rarely captures the attention of executives. In Sikhakhane’s and Hickey’s article, there is no mention of how data quality and data governance impacts the decision making of executives. There is also no mention of how important and vital it is to have executive input and knowledge of data quality and data governance in an organization. It is critical to have executive buy-in and input when it comes to data governance and DQM. Merely reducing and breaking down departmental divisions and silos in an organization is just the first step in achieving what Fisher believes is the basis for measuring quality data accurately and

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