A Study of the Perceptions Held by Information Technology Professionals in Relation to the Maturity, Value, and Practical Deployment of Big Data Solutions

Runion, Damon Andrick (2016): A Study of the Perceptions Held by Information Technology Professionals in Relation to the Maturity, Value, and Practical Deployment of Big Data Solutions. Published in: International Journal of Advanced Multidisciplinary Research and Review , Vol. 4, No. 7 (June 2016): pp. 162-182.

Abstract

This research study investigated relationships between an information technology (IT) professional's self-assigned understanding of big data and their assessment of the maturity, value, hype, and future trends of big data. The study also examined if there was any relationship between an IT professional's understanding of big data and the position they occupy professionally. The study consisted of a twenty question survey. Research findings indicate that IT professionals are still becoming familiar with big data and related technologies. The results supported rejecting two of the five hypotheses. The study produced evidence that there is a relationship between an IT professional's level of big data understanding and their expectation that there will be an increase in technological developments related to big data in the near future.

• Item Type: MPRA Paper
• Language: English
• Keywords: Big Data, Analytics, Business Intelligence, Information Technology, Data Management, Management Information Systems, Information Technology Professionals.
• Subjects: M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M5 - Personnel Economics

References

Bureau of Labor Statistics. (2014, January 8). Computer and Information Systems Managers. Retrieved from Bureau of Labor Statistics: http://www.bls.gov/ooh/management/computer-and-information-systems-managers.htm

Chen, M., Mao, S., & Liu, Y. (2014). Big Data: A Survey. Mobile Networks and Applications, 19(2, 171-209.

Constine, J. (2012). How Big Is Facebook’s Data? 2.5 Billion Pieces Of Content And 500+ Terabytes Ingested Every Day. Retrieved from TechCrunch: http://bit.ly/1nKWiHM

Gantz, J., & Reinsel, D. (2011). Extracting value from chaos. IDC iview, 1-12.

Gartner. (2013). IT Glossary - Big Data. Retrieved from Gartner: http://gtnr.it/1rP0ANn

Manyika, J., Chui, M. B., Bughin, J., Dobbs, R., Roxburgh, C., & Byers, A. H. (2011). Big data: The next frontier for innovation, competition, and productivity. New York: McKinsey Global Institute.

McLellan, C. (2013). Big data: An overview. Retrieved from ZDNet: http://www.zdnet.com/big-data-an-overview_p2-7000020785