Critical Thinking Essay - Data Visualization And GIS Solutions

CRITICAL THINKING ESSAY: DATA VISUALIZATION AND GIS SOLUTIONS

I need your help for writing essay (4 pages not including the cover page and references page)  

The topic as below:

Research either data visualization software or GIS software  available to businesses. In a paper, summarize the range of solutions  available with examples of how they might be utilized. Then conduct some  research and identify an organization that has adopted one of these  software solutions. Briefly describe the organization, and then answer  the following questions:

• What technology (or technologies) is the organization using?
• Which business units utilize the data presented by the technology?
• What does the technology provide to the organization? What benefits does it offer and/or what problems does it solve?
• Explain the present and future impacts of such a technology from a business perspective.
• Identify areas in which the organization might expand or  improve upon using the technology. Explain what they could do and why  they should do it.

Directions:

- Write an essay that includes an introduction paragraph, the essay’s     body, and a conclusion paragraph to address the assignment’s guide     questions. Do not address the questions using a question-and-answer     format. 

-APA style should be used

-Font will be: Times roman 12, and double space should be between lines

-At least 3-4 scholarly, peer-reviewed journal articles will be used as references (including the below two).

Required Reference: 

• Chapter 11: Data Visualization and Geographic Information Systems  inInformation Technology  for Management: On-Demand Strategies for Performance, Growth, and  Sustainability
• Altmann, B. R. (2018). Reliable data are  central to confidence in dashboard. Professional Pensions: 20.
• Chen, Z., Song, J., & Yang, Y. (2018). Similarity measurement  of metadata of geospatial data: An artificial neural network approach. ISPRS International Journal of  Geo-Information, 7(3), 90.
• Elmisery, A., Sertovic, M., & Gupta, B. (2018). Cognitive privacy  middleware for deep learning mashup in environmental IoT. IEEE Access, 6(99),   8029–8041. Retrieved from  https://www.researchgate.net/publication/322088445_Cognitive_Privacy_Middleware_for_Deep_Learning_Mashup_in_Environmental_IoT
• Koubarakis, M., Blekas, K., Krithara, A., Vouros, G., Chalkiadakis, G.,  Plagianakos, V., … Petasis, G. (2018). AI in Greece: The case  of research on linked geospatial data. AI Magazine, 39(2), 91–96.
• Moore, J. (2017). Data visualization in  support of executive decision making. Interdisciplinary Journal of Information, 12, 125-138. Retrieved from  http://www.ijikm.org/Volume12/IJIKMv12p125-138Moore2889.pdf