Custom collaboration of data visualization and dashboard optimization; data simplicity and accessibility
Khan, Zahidul (2021)
Khan, Zahidul
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2021052932229
https://urn.fi/URN:NBN:fi-fe2021052932229
Tiivistelmä
Data visualization is incredibly useful for people to know data graphically. The new data visualization must come up with better ways to process, analyze and visualize a large amount of complicated data. Visualization is determining what to represent as an example, choosing visual forms to represent objects, designing underlying computational/analytical algorithms, and also choosing interactions to attach visual representations with underlying analytics. The dashboard is a mostly visual information display that individual use to quickly understand the condition that needs a timely response to fulfill a specific role. It is important to make uncertainty propagation and trust-building within the data generation process. The dashboard can use an optimization strategy to reduce reaction time, increase interaction, optimize functionality, and increase other vital results. As an example of a financial institution, make extensive use of visualization of models as data analysis to identify threats to the stability of the financial system.
This thesis follows up the expected qualitative analysis relying on documental analysis and secondary data. Case studies are used to analyze these qualitative studies, including reviews of primary literature. The case studies were divided into three groups: 1) Financial Organizational Dashboard 2) Healthcare Institutional Dashboard, and 3) Geospatial Organizational dashboard.
At first, the results of this thesis indicate the optimized visualization of dashboards. Second, it contributes to the literature on how user-driven visualization tools are organized, managed, and screened from large amounts of data on the dashboard. Finally, analyze the problems and challenges of visualizing big data and comparing them to different dashboard visualization platforms.
This thesis demonstrates that dashboard visualization designs and develops optimization processes to make data simpler and more accessible. According to this thesis, data visualization on the dashboard means that this function is more than explicit, and it can serve a specific function and express information more efficiently than the general tabular format. Furthermore, this thesis brings insights into dashboard orientation research with a deeper understanding of the optimization process using different tools, platforms, and techniques.
This thesis follows up the expected qualitative analysis relying on documental analysis and secondary data. Case studies are used to analyze these qualitative studies, including reviews of primary literature. The case studies were divided into three groups: 1) Financial Organizational Dashboard 2) Healthcare Institutional Dashboard, and 3) Geospatial Organizational dashboard.
At first, the results of this thesis indicate the optimized visualization of dashboards. Second, it contributes to the literature on how user-driven visualization tools are organized, managed, and screened from large amounts of data on the dashboard. Finally, analyze the problems and challenges of visualizing big data and comparing them to different dashboard visualization platforms.
This thesis demonstrates that dashboard visualization designs and develops optimization processes to make data simpler and more accessible. According to this thesis, data visualization on the dashboard means that this function is more than explicit, and it can serve a specific function and express information more efficiently than the general tabular format. Furthermore, this thesis brings insights into dashboard orientation research with a deeper understanding of the optimization process using different tools, platforms, and techniques.
Kokoelmat
- 512 Liiketaloustiede [436]