Week3-researchpaper-data science & big data analy

 Course: Data Science & Big Data Analy

LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.

Due Date – 2 days

Discussion Question:  Big Data and Business Intelligence  

This week’s article provided a case study approach which highlights how  businesses have integrated Big Data Analytics with their  Business Intelligence to gain dominance within their respective  industry.  Search the UC Library and/or Google Scholar for a “Fortune  1000” company that has been successful in this integration. Discuss the  company, its approach to big data analytics with business  intelligence, what they are doing right, what they are doing wrong, and  how they can improve to be more successful in the implementation and  maintenance of big data analytics with business intelligence.  

Prof. Guidelines 

Your paper should meet these requirements: 

  • Be approximately four to six pages in length, not including the required cover page and reference page.
  • Follow APA 7 guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.
  • Support your answers with the readings from the course and at   least two scholarly journal articles to support your positions, claims,   and observations, in addition to your textbook. The UC Library is a   great place to find resources.
  • Be clearly and well-written, concise, and logical, using excellent   grammar and style techniques. You are being graded in part on the   quality of your writing.

Reading Assignments 

Big Data Visualization: Allotting by R and Python with GUI Tools. (2018). 2018  International Conference on Smart Computing and Electronic Enterprise  (ICSCEE), Smart Computing and Electronic Enterprise (ICSCEE), 1https://doi.org/10.1109/ICSCEE.2018.8538413 

Integrated Understanding of Big Data, Big Data Analysis, and Business Intelligence: A Case Study of Logistics. Sustainability 2018, 10(10), 3778; https://doi.org/10.3390/su10103778

Books and Resources 

Required Text

Eyupoglu, C. (2019). Big Data in Cloud Computing and Internet of Things. 2019    3rd International Symposium on Multidisciplinary Studies and   Innovative  Technologies (ISMSIT), Multidisciplinary Studies and   Innovative  Technologies (ISMSIT), 2019 3rd International Symposium On, 1–5. https://doi.org/10.1109/ISMSIT.2019.8932815

L. Zhao, Y. Huang, Y. Wang and J. Liu, “Analysis on the Demand of Top    Talent Introduction in Big Data and Cloud Computing Field in China    Based on 3-F Method,” 2017 Portland International Conference on    Management of Engineering and Technology (PICMET), Portland, OR,  2017,    pp. 1-3. https://doi.org/10.23919/PICMET.2017.8125463

Saiki, S., Fukuyasu, N., Ichikawa, K., Kanda, T., Nakamura, M.,    Matsumoto, S., Yoshida, S., & Kusumoto, S. (2018). A Study of    Practical Education Program on AI, Big Data, and Cloud Computing   through  Development of Automatic Ordering System. 2018 IEEE   International  Conference on Big Data, Cloud Computing, Data Science   & Engineering  (BCD), Big Data, Cloud Computing, Data Science &   Engineering (BCD),  2018 IEEE International Conference on, BCD, 31–36. https://doi.org/10.1109/BCD2018.2018.00013

Psomakelis, E., Aisopos, F., Litke, A., Tserpes, K., Kardara, M., & Campo, P. M. (2016). Big    IoT and social networking data for smart cities: Algorithmic    improvements on Big Data Analysis in the context of RADICAL city    applications.

Liao, C.-H., & Chen, M.-Y. (2019). Building social computing    system in big data: From the perspective of social network analysis. Computers in Human Behavior, 101, 457–465. https://doi.org/10.1016/j.chb.2018.09.040

“APA Format” 

https://academicwriter.apa.org/6/ 

“NO PLAGIARISM” 

Plagiarism includes copying and pasting material    from the internet into assignments without properly citing the source    of the material.

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