Skip to main content

Analysis of Data Governance Implications on Big Data

  • Conference paper
  • First Online:
Book cover Advances in Information and Communication (FICC 2019)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 69))

Included in the following conference series:

Abstract

This paper explores the governance dynamics of big data, the possible governance challenges and gaps that come with the adoption of big data in organizations. On its arrival, big data technology brought along a massive hype and disruption in the world of business. The unique ability to processes large quantities of information, analyze it and make well informed data driven decisions is the main reason for such a disruption. Globally businesses, governments organizations have come to realize the gains of big data and they are currently developing plans to implement and expand big data technologies. Even though these organizations are busy exploring different plans to leverage big data, little or no attention is paid to big data governance and thus lack of big data governance remains the ghost that continues to haunt companies. This paper focuses on the arising governance dynamics on big data. Apart from the issue of increasing data scope, big data also complicates the governance processes, policies, people roles and these necessitates the need for new approach, methods, controls and policies that are best suited to govern big data.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. ACCA and IMA: DigitalDarwinism: Thriving in the Face of Technology Change (2013). http://www.accaglobal.co.uk/content/dam/acca/global/PDF-technical/other-PDFs/Five-mins-on-Digital-Darwinism.pdf

  2. Brynjolfsson, E., Hitt, L.M., Kim, H.H.: Strength in numbers: how does data-driven decisionmaking affect firm performance? (2011)

    Google Scholar 

  3. Broeders, D., Schrijvers, E., van der Sloot, B., van Brakel, R., de Hoog, J., Hirsch Ballin, E.: Big Data and security policies: towards a framework for regulating the phases of analytics and use of Big Data. Comput. Law Secur. Rev. 33(3), 309–323 (2017)

    Article  Google Scholar 

  4. Buttler, P.: 10 Challenges to big data Security and Privacy - Dataconomy (2017). http://dataconomy.com/2017/07/10-challenges-big-data-security-privacy/. Accessed 5 June 2018

  5. CGMA: From insight to impact. Unlocking the opportunities in big data (2013)

    Google Scholar 

  6. Chen, H., Chiang, R.H.L., Storey, V.C.: Business intelligence and analytics: from big data to big impact. MIS Q. 36(4), 1163–1170 (2012)

    Article  Google Scholar 

  7. Collibri and MapR: The Need for Big Data Governance—MapR (2016). https://mapr.com/resources/need-big-data-governance/. Accessed 15 June 2018

  8. De Mauro, A., Greco, M., Grimaldi, M.: What is big data? A consensual definition and a review of key research topics. In: AIP Conference Proceedings, vol. 1644, pp. 91–102 (2015)

    Google Scholar 

  9. Enaxisconsulting: Governing and managing data in the big data era – Enaxis Consulting (2017). http://www.enaxisconsulting.com/governing-and-managing-data-in-the-big-data-era-blog/. Accessed 6 June 2018

  10. Enofe, M.: Data Management in an Operational Context: A study at Volvo Group Trucks Operations. Lund University School of Economics and Management, Sweden (2017)

    Google Scholar 

  11. Ernst & Young: Big data Changing the way businesses compete and operate Insights on governance, risk and compliance [ebook], pp. 11–14 (2014). http://www.ey.com/…changing_the_way_businesses_operate/…/EY-Insights-on-GRC-Big-d. Accessed 11 June 2018

  12. Fatt, Q., Ramadas, A.: The usefulness and challenges of big data in healthcare. Healthcare-communications. imedpub.com (2018). http://healthcare-communications.imedpub.com/the-usefulness-and-challenges-of-big-data-in-healthcare.pdf. Accessed 25 Oct 2018

  13. Fernandez, A.: Shaping the future use of big data: towards an ethical use of big data technologies in online marketing. Masters. University of Twente (2017)

    Google Scholar 

  14. Franks,B.: Characterisation of a dual detector probe for medical physics applications. Masters thesis. University of Wollongong (2012)

    Google Scholar 

  15. Gerber, P.: Addressing the incremental risks associated with social media by using the COBIT 5 control framework. Masters thesis. University of Stellenbosch (2015)

    Google Scholar 

  16. GlueReply: The Valuation of Data as an Asset: a Consumption-Based Approach. Reply, 12 June 2015 (2014). www.reply.com/Documents/13903_img_The-valuation-of-data-as-an-asset.pdf. Accessed 05 June 2018

  17. Ghosh, P.: Data Management Trends in 2018 - DATAVERSITY. DATAVERSITY (2018). http://www.dataversity.net/data-management-trends-2018/. Accessed 25 Oct 2018

  18. Hannula, J.: Big data management: the challenges of governance—SmartShift. Smartshifttech (2015). http://smartshifttech.com/big-data-management-challenges-governance. Accessed 15 June 2018

  19. Henke, N., et al.: The age of analytics: competing in a data-driven world. McKinsey Global Institute (2016)

    Google Scholar 

  20. Hurwitz, J., Nugent A., Halper, F. Kaufman, M.: Big Data for Dummies. Wiley, Hoboken (2013). http://www.wiley.com/

  21. Khan, N., et al.: Big data: survey, technologies, opportunities, and challenges. Sci. World J. (2014)

    Google Scholar 

  22. Kaisler, S., Armour, F., Espinosa, J., Money, W.: Big data: issues and challenges moving forward. In: 46th Hawaii International Conference on System Sciences (2013)

    Google Scholar 

  23. Kshetri, N.: Big data’s impact on privacy, security and consumer welfare. Telecommun.Policy 38(11), 1134–1145 (2014)

    Article  Google Scholar 

  24. Kuurila, J.: The role of big data in Finnish companies and the implications of big data on management accounting. Master thesis, University of Jyvaskyla (2016)

    Google Scholar 

  25. Laney, D.: 3-D data management: controlling data volume, velocity and variety. META Group Res. Note 6, 1 (2001)

    Google Scholar 

  26. Laudon, K.C., Laudon, J.P: Management Information Systems, Managing the digital firm, 13th edn. Prentice Hall, Upper Saddle River, pp. 36–37, 498–499, 254–269 (2014)

    Google Scholar 

  27. LaValle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N.: Big data, analytics and the path from insights to value. MIT Sloan Manag. Rev. 52, 20–32 (2011)

    Google Scholar 

  28. Liell-Cock, S., Graham, J., Hill, P.: IT Governance aligned to KING III (2009)

    Google Scholar 

  29. Loshin, D.: Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph. Morgan Kaufmann, Burlington (2013)

    Google Scholar 

  30. Marchibroda, J.: A Policy Forum on the Use of big data in Health Care (2013)

    Google Scholar 

  31. Mathur, N., Purohit, R.: Issues and challenges in convergence of big data, cloud and data science. Int. J. Comput. Appl. 160(9), 7–12 (2017). https://pdfs.semanticscholar.org/43f1/c1fddaf8acf6e6aaf1ec5fbce7236ac228e9.pdf. Accessed 24 Oct 2018

    Article  Google Scholar 

  32. Mathes, C.A.: Big data has unique needs for information governance and data 73 quality. J. Manag. Sci. Bus. Intell. 1(1), 12–20 (2016)

    Google Scholar 

  33. Minelli, M., Chambers, M., Dhiraj, A.: Business Analytics. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today’s Businesses, pp. 99–125 (2013)

    Google Scholar 

  34. MIT Technology Review: The Rise of Data Capital (2015)

    Google Scholar 

  35. Moreno, J., Serrano, M., Fernández-Medina, E.: Main issues in big data security. Future Internet 8(3), 44 (2016)

    Article  Google Scholar 

  36. Ndamase, Z.: The impact of data governance on corporate performance: the case of a Petroleum Company. University of Cape Town (2018)

    Google Scholar 

  37. Rajpurohit, A.: Must-Know: what are common data quality issues for Big Data and how to handle them? Kdnuggets.com (2017). https://www.kdnuggets.com/2017/05/must-know-common-data-quality-issues-big-data.html. Accessed 14 Aug 2018

  38. Regalado, A.: Data and decision making. MIT Technol. Rev. 117(2), 61–63 (2014)

    Google Scholar 

  39. Ricci, A., Kalyva, F.: Unlocking the full potential of Big Data: a change management approach. Master’s Programme in Management. Lund University (2015)

    Google Scholar 

  40. Satish, L., Yusof, N.: A review: big data analytics for enhanced customer experiences with crowd sourcing. Procedia Comput. Sci. 116, 274–283 (2017)

    Article  Google Scholar 

  41. Schmarzo, B.: Big Data: Understanding How Data Powers Big Business. Wiley, Indianapolis (2013)

    Google Scholar 

  42. Smeda, J.: Benefits, business considerations and risks of big data. Masters. University of Pretoria (2015)

    Google Scholar 

  43. Soares, S.: A framework that focuses on the data in big data governance. IBM Data Management (2012)

    Google Scholar 

  44. Stander, J.: The modern asset: big data and Information Valuation. Stellenbosch University (2015). https://scholar.sun.ac.za/handle/10019.1/97824. Accessed 13 June 2018

  45. Tesfaye, B.: What is the influence of big data and analytics on management control systems? Masters. Radbound University (2017)

    Google Scholar 

  46. Tykheev, D.: Big data in marketing. Undergraduate. Saimaa University of Applied Sciences (2018)

    Google Scholar 

  47. Tait, A.: 5 big data security challenges—learning tree blog. Learning Tree Blog (2016). https://blog.learningtree.com/five-big-data-security-challenges/. Accessed 5 Jun. 2018

  48. Wamba, S.F., Akter S.: Big data analytics in E-commerce: a systematic review and agenda for future research (2016)

    Google Scholar 

  49. Wu, S.: Big Data Processing with Hadoop. Turku University of Applied Sciences (2015)

    Google Scholar 

  50. Zicari, R.V.: Big Data: Challenges and Opportunities. This is big data (2012). http://www.odbms.org/wp-content/uploads/2013/07/Big-Data.Zicari.pdf

  51. De Coninck, N.: The relationship between Big Data and operations research. Ghent University (2017)

    Google Scholar 

  52. Cukier, K., Mayer-Schönberger, V.: The rise of big data. foreign affairs, pp. 28–40, May/June (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lomso Trom .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Trom, L., Cronje, J. (2020). Analysis of Data Governance Implications on Big Data. In: Arai, K., Bhatia, R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham. https://doi.org/10.1007/978-3-030-12388-8_45

Download citation

Publish with us

Policies and ethics