Big Data and Strategy Management: Trends, Platforms, Success Factors and Applications
Keywords:
big data, strategy management, business intelligence, Hadoop ecosystem, big data tools, review and business valueAbstract
Big data and strategy management are trends that are positively impacting the business world. Past researches show that data generated in the modern world is huge and growing exponentially. These include structured and unstructured data that flood organizations daily. Unstructured data constitute the majority of the world’s digital data and these include text files, web, and social media posts, emails, images, audio, movies, etc. The unstructured data cannot be managed in the traditional relational database management system (RDBMS). Therefore, data proliferation requires a rethinking of techniques for capturing, storing, and processing the data. This is the role big data has come to play. This paper, therefore, is aimed at increasing the attention of organizations and researchers to various applications and benefits of big data technology. The paper reviews and discusses, the recent trends, opportunities and pitfalls of big data and how it has enabled organizations to create successful business strategies and remain competitive, based on available literature. Furthermore, the review presents the various applications of big data and business analytics, data sources generated in these applications and their key characteristics. Finally, the review not only outlines the challenges for successful implementation of big data projects but also highlights the current open research directions of big data analytics that require further consideration. The reviewed areas of big data suggest that good management and manipulation of the large data sets using the techniques and tools of big data can deliver actionable insights that create business values.
References
- Davenport, T.H. Big Data at Work: Dispelling the Myths, Uncovering the Opportunities; Harvard Business School Publishing: Boston, MA, USA, 2014.
- Davenport, T.H.; Harris, J.G. Competing on Analytics: The New Science of Winning; Harvard Business School Publishing: Boston, MA, USA, 2014.
- Davenport, T.H.; Barth, P.; Bean, R. How Big Data is Different. MIT Sloan Manag. Rev. 2012, 54, 21–24.
- Hashem, I.A.T.; Yaqoob, I.; Anuar, N.B.; Mokhtar, S.; Gani, A.; Khan, S.U. The rise of “big data” on cloud computing: Review and open research issues. Inf. Syst. 2015, 47, 98–115. [CrossRef]
- Grover, V.; Chiang, R.H.L.; Liang, T.; Zhang, D. Creating Strategic Business Value from Big Analytics: A Research Framework. J. Manag. Inf. Syst. 2018, 35, 388–423. [CrossRef]
- Chahal, H.; Jyoti, J.; Wirtz, J. Business Analytics: Concepts and Applications. In Understanding the Role of Business Analytics; Springer: London, UK, 2019; pp. 1–8.
- Singh, D.; Reddy, C.K. A survey of Platforms for Big Data Analytics. J. Big Data 2015, 2, 8. [CrossRef]
- Tsai, C.-W.; Lai, C.-F.; Chao, H.-C.; Vasilakos, A.V. Big Data Analytics: A survey. J. Big Data 2015, 2, 21. [CrossRef]
- Landset, S.; Khoshgoftaar, T.M.; Richter, A.N.; Hasanin, T. A survey of Open Source tools for machine learning with big data in the Hadoop ecosystem. J. Big Data 2015, 2, 24. [CrossRef]
- Mohebi, A.; Aghabozorgi, S.; Wah, T.Y.; Herawan, T.; Yayapour, R. Iterative big data clustering algorithms: A review. Softw. Pract. Exp. 2016, 46, 107–129. [CrossRef]
- Mohamed, A.; Nahafabadi, M.K.; Wah, Y.B.; Zaman, E.A.K.; Maskat, R. The state of the art and taxonomy of big data analytics: View from the new big data framework. Artif. Intell. Rev. 2019, 1–49. [CrossRef]
- Brynjolfsson, E.; Hitt, L.M.; Kim, H.H. Strength in Numbers: How Does Data-Driven Decision Making Affect Firm Performance? 2011. Available online: http://ssrn.com/abstract=1819486 (accessed on 2 January 2019).
- Manyika, J.; Chui, M.; Brown, B.; Bughin, J.; Dobbs, R.; Roxburgh, C.; Byers, A.H. Big Data: The Next Frontier for Innovation, Competition, and Productivity. 2011. Available online: http://www.mckinsey.com/ insights/mgi/research/technology_and_innovationbig_data_th_next_frontier_for_innovation (accessed on 6 October 2018).
- SAS, Big data meets Big Data Analytics. Available online: www.sas.com/content/dam/SAS/en.../big-datameets-big-data-analytics-105777.pdf (accessed on 10 February 2019).
- McAfee, A.; Brynjolfsson, E. Big data: The management revolution. Harv. Bus. Rev. 2012, 90, 60–69. [PubMed]
- International Data Corporation (IDC). The Digital Universe of Opportunities: Rich Data and the Increasing Value of the Internet of Things, 2014. Available online: http://www.emc.com/leadership/digital-universe/ 2014iview/executive-summary.htm (accessed on 4 May 2018).
- Dailey, W. The Big Data Technology Wave. Available online: https://www.skillsoft.com/courses/5372828-thebig-data-technology-wave/ (accessed on 18 March 2019).
- Sicular, S. Gartner’s Big Data Definition Consists of Three Parts, Not to Be Confused with Three “V”s. Available online: http://www.forbes.com/sites/gartnergroup/2013/03/27/gartners-big-data-definition-consists-of-threeparts-not-to-be-confused-with-three-vs/#95a45853bf622013 (accessed on 4 May 2018).
- Davenport, T.H.; Dyché, J. Big Data in Big Companies. Available online: https://www.sas.com/resources/ asset/Big-Data-in-Big-Companies.pdf (accessed on 10 October 2018).
- Jones, M.; Silberzahn, P. Three Reasons Why Big Data Doesn’t Make You Smarter—Lessons from the World of Intelligence. Available online: http://www.forbes.com/sites/silberzahnjones/2013/07/02/three-reasonswhy-big-data-doesnt-make-you-smarter-lessons-from-the-world-of-intelligence/#2cbc03266562 (accessed on 22 May 2018).
- Noyes, K. Why Big Data Isn’t Always the Answer. Available online: http://www.computerworld.com/ article/2973436/big-data/why-big-data-isn\T1\textquoterightt-always-the-answer.html2015-08 (accessed on 22 May 2018).
- Davenport, T. Three Big Benefits of Big Data Analytics. Available online: https://www.sas.com/en_ca/news/ sascom/2014q3/Big-data-davenport.html (accessed on 25 June 2018).
- Frizzo-Barker, J.; Chow-White, P.A.; Mozafari, M.; Ha, D. An empirical study of the rise of big data in business scholarship. Int. J. Inf. Manag. 2016, 36, 403–413. [CrossRef]
Downloads
Published
Issue
Section
License
Copyright (c) IJSRSET

This work is licensed under a Creative Commons Attribution 4.0 International License.