A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges

Iqbal, Muhammad and Alam Kazmi, Syed Hasnain and Manzoor, Dr. Amir and Rehman Soomrani, Dr. Abdul and Butt, Shujaat Hussain and Shaikh, Khurram Adeel (2018): A Study of Big Data for Business Growth in SMEs: Opportunities & Challenges. Published in: International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) , Vol. 1, No. 1 (March 2018): pp. 1-7.

Abstract

In today's world the data is considered as an extremely valued asset and its volume is increasing exponentially every day. This voluminous data is also known as Big Data. The Big Data can be described by 3Vs: the extreme Volume of data, the wide Variety of data types, and the Velocity required processing the data. Business companies across the globe, from multinationals to small and medium enterprises (SMEs), are discovering avenues to use this data for their business growth. In order to bring significant change in businesses growth the use of Big Data is foremost important. Nowadays, mostly business organization, small or big, wishes valuable and accurate information in decision-making process. Big data can help SMEs to anticipate their target audience and customer preferences and needs. Simply, there is a dire necessity for SMEs to seriously consider big data adoption. This study focusses on SMEs due to the fact that SMEs are backbone of any economy and have ability and flexibility for quicker adaptation to changes towards productivity. The big data holds different contentious issues such as; suitable computing infrastructure for storage, processing and producing functional information from it, and security and privacy issues. The objective of this study is to survey the main potentials & threats to Big Data and propose the best practices of Big Data usage in SMEs to improve their business process.

• Item Type: MPRA Paper
• Language: English
• Keywords: SME; Big Data; Efficieny; Analytics; Competitive Advantage
• Subjects: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration; M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M1 - Business Administration > M15 - IT Management

References

Botta, A., de Donato, W., Persico, V., &Pescapé, A. (2016). Integration of cloud computing and Internet of things:A survey. Future Generation Computer Systems.56(1).684-700.

Hsinchun Chen, Roger H. L. Chiang, Veda C. Storey,” BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT”, MIS Quarterly Vol. 36 No. 4, pp. 1165-1188/December 2012

Andrew McAfee and Erik Brynjolfsson, “Big Data: The Management Revolution”, Harvard Business Review, October 2012

ALBERT BERRY, “The Potential Role of the SME Sector in Pakistan in a World of Increasing International Trade”, The Pakistan Development Review ,Vol.37 ,Issue 4 Part I (Winter 1998) pp. 37:4, 25–49

WTO Report 2016: Levelling the trading field for SMEs, Available at: https://www.wto.org/english/res_e/booksp_e/world_trade_report16_e.pdf, Accessed on16-10-2017

Furht, B., Villanustre, F., 2016. Introduction to big data. In: Big Data Technolgies and . Applications Springer International Publishing, Cham, pp. 3– 11

McAfee, A., Brynjolfsson, E., et al., 2012. Big Data: the management revolution.Harvard Bus. Rev. 90, 60–68

Kune, R., Konugurthi, P.K., Agarwal, A., Chillarige, R.R., Buyya, R., 2016. The anatomy of big data computing. Software: Pract. Experience 46, 79–105

Ahmed Oussous , Fatima-Zahra Benjelloun, Ayoub Ait Lahcen, Samir Belfkih,” Big Data technologies: A surve”,. Journal of King Saud University – Computer and Information Sciences (2017),http://dx.doi.org/10.1016/j.jksuci.2017.06.001

Beaver, D., Kumar, S., Li, H. C., Sobel, J., & Vajgel, P. (2010). Finding a needle in haystack: Facebook’s photo storage. In Proceedings of the nineth USENIX conference on operating systems design and implementation (pp. 1–8). Berkeley, CA,USA: USENIX Association.

7 Big Data Examples – Application of Big Data in Real Life, https://intellipaat.com/blog/7-big-data-examples-application-of-big-data-inreal-life/ , Accessed on 21-10-2017

Wamba, S.F. et al., 2015. How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study. International Journal of Production Economics, 165(July), pp.234–246.

Jin, X. et al., 2015. Significance and Challenges of Big Data Research. Big Data Research, 2(2), pp.59–64.

ECONOMIC SURVEY 2013-14 , Available at: http://finance.gov.pk/survey/chapters_14/Highlights_ES_201314.pdf

SME DEVELOPMENT IN PAKISTAN: ISSUES AND REMEDIES, “ Available at: http://www.gcu.edu.pk/publications/vc-sme.pdf

Double-Digit Growth Forecast for the Worldwide Big Data and Business Analytics Market Through 2020 Led by Banking and Manufacturing Investments, According to IDC, Available at: https://www.idc.com/getdoc.jsp?containerId=prUS41826116

MacInnes, B., 2013. Help SMEs benefit from big data on a small scale. MicroScope. Available at: http://www.microscope.co.uk/feature/Help-SMEsbenefit-from-big-data-on-a-small-scale

Coleman, S., Göb, R., Manco, G., Pievatolo, A., Tort�Martorell, X., & Reis, M. S. (2016). How can SMEs benefit from big data? Challenges and a path forward. Quality and Reliability Engineering International, 32(6), 2151- 2164.

Russegger S, Freudenthaler B, Güntner G, Kieseberg P, Stern H, Strohmeier F. Big Data und Data-driven Business für KMU. Digital networked Data -Verein für Innovation und Erforschung vernetzter digitaler Daten: Salzburg, Austria, 2015

Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH. 2011. Big data: the next frontier for innovation, competition, and productivity. McKinsey Global Institute.

Probst L, Frideres L, Demetri D, Vomhof B, Lonkeu OK. 2014. Customer experience – predictive analytics. http://docplayer.net/984399- Businessinnovation-observatory-customer-experience-predictive-analyticscase-study-34-enterprise-and-industry.html#show_full_text\

McAfee A, Brynjolfsson E. Big data: the management revolution. Harvard Business Review 2012 90 (October 2012), 61–68.

Capgemini 2012.Measuring organisationalmaturity in predictive analytics: the first step to enabling the vision. Capgemini, Paris. https://www.capgemini.com/resource-fileaccess/resource/pdf/Measuring_Organizational_Maturity_in_Predictive_Analyt ics__the_First_Step_to_Enabling_the_Vision.pdf

Lacey D, James BE. Review of Availability of Advice on Security for Small/Medium Sized Organisations. Information Commissioner’s Office: Wilmslow, UK, 2010.

Davidsson P. Entrepreneurship – and after? A study of growth willingness in small firms. Journal of Business Venturing 1989; 4:211–226.

Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98-115.

Khan, N., Yaqoob, I., Hashem, I. A. T., Inayat, Z., Mahmoud Ali, W. K., Alam, M., ... & Gani, A. (2014). Big data: survey, technologies, opportunities, and challenges. The Scientific World Journal, 2014.

Hashem, I. A. T., Chang, V., Anuar, N. B., Adewole, K., Yaqoob, I., Gani, A., ... & Chiroma, H. (2016). The role of big data in smart city. International Journal of Information Management, 36(5), 748-758.

Siddiqa, A., Hashem, I. A. T., Yaqoob, I., Marjani, M., Shamshirband, S., Gani, A., & Nasaruddin, F. (2016). A survey of big data management: Taxonomy and state-of-the-art. Journal of Network and Computer Applications, 71, 151-166.

Yaqoob, I., Hashem, I. A. T., Gani, A., Mokhtar, S., Ahmed, E., Anuar, N. B., & Vasilakos, A. V. (2016). Big data: From beginning to future. International Journal of Information Management, 36(6), 1231-1247.

Coleman, S., Göb, R., Manco, G., Pievatolo, A., Tort Martorell, X., & Reis, M. S. (2016). How can SMEs benefit from big data? Challenges and a path forward. Quality and Reliability Engineering International, 32(6), 2151- 2164.

Sen, D., Ozturk, M., & Vayvay, O. (2016). An Overview of Big Data for Growth in SMEs. Procedia-Social and Behavioral Sciences, 235, 159-167.

Karim, S., Al-Tawara, A., Gide, E., & Sandu, R. (2017, May). Is big data too big for SMEs in Jordan?. In Information Technology (ICIT), 2017 8th International Conference on (pp. 914-922). IEEE.