Its-836 – data science & big data analytics – discussion

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), 49–67.

Maqueira-Marín, Bruque-Cámara, S., & Minguela-Rata, B. (2017). Environment determinants in business adoption of Cloud Computing. Industrial Management + Data Systems, 117(1), 228–246.
 

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), 574–609.

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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