The Importance of Dashboard in Data Analysis: An Application Example

Current Studies in Data Science and Analytics

Editors: M. Hanefi CALP, Resul BÜTÜNER


Current Studies in Data Science and Analytics

23

The Importance of Dashboard in Data Analysis: An Application Example

Chapter Authors: M. Hanefi CALP, Resul BÜTÜNER

Pages: 144-155

In this book chapter, the study aimed to find answers to the extent to which the COVID-19 vaccines produced and used against the virus in the COVID-19 pandemic are related to basic headings such as supply and vaccine inequality. In this context, the data analysis process carried out in the study was supported by dashboards prepared using the Power BI program. Thus, the data will be analyzed more effectively and efficiently in a shorter time. These indicators will also make it easier for institutions, organizations, or individuals to make accurate, efficient, and effective comments and thus make some strategic decisions. In order to achieve the objectives of the study to the maximum extent, the these questions were sought to be answered: Are states able to deliver vaccines to their citizens equally during the pandemic period? If not, what are the reasons for this? What are the effects of vaccine inequality? How can vaccine inequality be resolved? What are the parameters used to deliver the vaccine equally to every individual? The difference and important element of this study from other studies is that it is not only prepared by conducting relevant research, but also provides institutions and organizations with the opportunity and example of implementation with indicator panels, and helps them make strategic decisions by seeing the positive and, if any, negative aspects of the application.

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