ITS-836 – Data Science & Big Data Analytics – Discussion

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    Subject: ITS-836 – Data Science & Big Data Analytics

    Reading Resources: 

    Cappa, Oriani, R., Peruffo, E., & McCarthy, I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. The Journal of Product Innovation Management, 38(1), 4967.

    Maqueira-Marn, Bruque-Cmara, S., & Minguela-Rata, B. (2017). Environment determinants in business adoption of Cloud Computing. Industrial Management + Data Systems, 117(1), 228246.
     

    Psomakelis, 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.
     

    Chan, Cheung, C. M. K., & Wong, R. Y. M. (2019).
    Cyberbullying on Social Networking Sites: The Crime Opportunity and Affordance Perspectives. Journal of Management Information Systems, 36(2), 574609.

    Word count: 300+ words 

    Discussion: Data analytics offers many benefits and challenges to organizations locally and globally. Find an organization with a data analytics use case.

    – Please cite properly in APA 7 

    – At least one scholarly source should be used.  

    – Use proper citations and references in your post.

    – 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.  

    Note: plagiarism check required, APA7 format, include References, within 8hrs

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