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Decision Making Analysis in Corporate Sectors Using the Concept of Big Data Analytics

  • Ananthi SheshasaayeeEmail author
  • K. BhargaviEmail author
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 26)

Abstract

Big data Analytics is one of the most common technology used by all kind of Organisations Worldwide. It has become a huge problem for all the organisations to store and process the massive data gathered. The main function of big data analytics is to collect, store, examine large amount of data to find the unseen patterns and unknown interrelationships according to the organisations requirement. In this internet era, the data is collected continuously and densely from multiple resources in every department of the organisations. The decision makers requires new methods and techniques to understand and analyse the massive data adequately before taking agile decisions. The achievement of the top management in taking strategic decisions depends on the characteristics of the information used. In this paper the role of big data analytics in decision making, theoretical framework of big data analytics, applications of big data analytics and decisions to data quadrants are discussed.

Keywords

Big data analytics Decision making Structured and unstructured data Structured and unstructured decisions 

References

  1. 1.
    Alsghaier, H., et al.: The importance of big data analytics in business: a case study. Am. J. Softw. Eng. Appl. 6(4), 111–115 (2017)Google Scholar
  2. 2.
    Stoicescu, C.: Big Data, the perfect instrument to study today’s consumer behavior. Database Syst. J. 6, 28–42 (2016)Google Scholar
  3. 3.
    Vloet, L.: Influence of big data and analytics on management control. Why changes in management control by means of big data and analytics are not achieved yet (2016)Google Scholar
  4. 4.
    Verma, S.: The adoption of big data services by manufacturing firms: an empirical investigation in India. JISTEM J. Inf. Syst. Technol. Manag. 14(1), 39–68 (2017)Google Scholar
  5. 5.
    Kudyba, S.: Big Data, Mining, And Analytics: Components of Strategic Decision Making. CRC Press, Boca Raton (2014)CrossRefGoogle Scholar
  6. 6.
    Agrawal, D., et al.: Challenges and opportunities with big data: a white paper prepared for the computing community consortium committee of the computing research association (2012)Google Scholar
  7. 7.
    Dargam, F., et al.: The role of decision making in the big data era, pp. 20–26 (2015)Google Scholar
  8. 8.
    Erickson, S., Rothberg, H.: Big data and knowledge management: establishing a conceptual foundation. Electron. J. Knowl. Manag. 12(2), 108–116 (2014)Google Scholar
  9. 9.
    Thirathon, U., Wieder, B., Ossimitz, M.L.: Impact of big data analytics on decision making and performance. In: International Conference on Enterprise Systems, Accounting and Logistics (2017)Google Scholar
  10. 10.
    Intezari, A., Gressel, S.: Information and reformation in KM systems: big data and strategic decision-making. J. Knowl. Manag. 21(1), 71–91 (2017)CrossRefGoogle Scholar
  11. 11.
    Maxwell, N., Rotz, D., Garcia, C.: Data and decision making: same organization, different perceptions, February 2015Google Scholar
  12. 12.
    Vera-Baquero, A., et al.: Business process improvement by means of Big Data based decision support systems: a case study on call Centers (2015)Google Scholar
  13. 13.
    Kościelniak, H., Puto, A.: Big data in decision making processes of enterprises. Procedia Comput. Sci. 65, 1052–1058 (2015)CrossRefGoogle Scholar
  14. 14.
    Akter, S., Wamba, S.F.: Big data analytics in E-commerce: a systematic review and agenda for future research. Electron. Markets 26(2), 173–194 (2016)CrossRefGoogle Scholar
  15. 15.
    Blackburn, M., et al.: Big data and the future of R&D management: the rise of big data and big data analytics will have significant implications for R&D and innovation management in the next decade. Res. Technol. Manag. 60(5), 43–51 (2017)CrossRefGoogle Scholar
  16. 16.
  17. 17.
  18. 18.
  19. 19.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceQuaid E Millath Government College for WomenChennaiIndia

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