Advertisement

Data Governance Support for Business Intelligence in Higher Education: A Systematic Literature Review

  • Soliudeen Muhammed JamiuEmail author
  • Norris Syed AbdullahEmail author
  • Suraya MiskonEmail author
  • Nazmona Mat AliEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1073)

Abstract

Business Intelligence (BI) is important for achieving effective decision-making in higher education. This study, however, advocated the need to support BI with data governance in higher education. The systematic literature review was conducted using a qualitative approach. The study cover 2005–2019. A total of 483 papers were retrieved and after exclusion and inclusion criteria, two hundred and three were removed due to lack of relevance. Some of the removed papers were those written in other languages other than the English language. Finally, one hundred and eighty were analyzed for this study. Some of those sources used for the study include Scopus, Springer, science direct, IEEE explore, Web of science. The results were arranged under word cloud, word frequency, Year-source by attribute, matrix coding by methodology, business intelligence, and its benefits, critical success factor, data governance, and its benefits, an overview of higher education and need to support business intelligence with data governance. The study provides information to higher education business intelligence experts on the need to support their BI with data governance.

Keywords

Data governance Data quality Business Intelligence Higher education 

References

  1. 1.
    Yilmaz, Y.: Higher Education Institutions in Thailand and Malaysia - Can They Deliver? pp. 1–54 (2010)Google Scholar
  2. 2.
    Muntean, M., Bologa, A.R., Bologa, R., Florea, A.: Business intelligence systems in support of university strategy. In: Proceedings of WSEAS/IASME International Conference Education Technology, pp. 118–123 (2011)Google Scholar
  3. 3.
    Kabakchieva, D.: Business intelligence systems for analyzing university students data. Cybern. Inf. Technol. 15, 104–115 (2015)Google Scholar
  4. 4.
    Scholtz, B., Calitz, A., Haupt, R.: A business intelligence framework for sustainability information management in higher education. Int. J. Sustain. High. Educ. 19, 266–290 (2018)CrossRefGoogle Scholar
  5. 5.
    Riggins, F.J., Klamm, B.K.: Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data. J. Account. Educ. 38, 23–36 (2017)CrossRefGoogle Scholar
  6. 6.
    Combita Niño, H.A., Cómbita Niño, J.P., Morales Ortega, R.: Business intelligence governance framework in a university: Universidad de la Costa case study. Int. J. Inf. Manag. 1 (2018).  https://doi.org/10.1016/j.ijinfomgt.2018.11.012
  7. 7.
    Anjariny, A.H., Zeki, A.M., Hussin, H.: Assessing organizations readiness toward business intelligence systems: a proposed hypothesized model. In: Proceedings of 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT), pp. 213–218 (2013).  https://doi.org/10.1109/acsat.2012.57
  8. 8.
    Ong, I., Siew, P., Wong, S.: A five-layered business intelligence architecture. Commun. IBIMA 2011, 1–11 (2011)CrossRefGoogle Scholar
  9. 9.
    Clavier, P.R., Lotriet, H.H., Van Loggerenberg, J.J.: Towards a ‘BI value coin’: applying service research to address business intelligence challenges. In: Proceedings of Annual Hawaii International Conference on System Science, pp. 1324–1333 (2014).  https://doi.org/10.1109/hicss.2014.170
  10. 10.
    Mohamadina, A.A., Ghazali, M.R.B., Ibrahim, M.R.B., Harbawi, M.A.: Business intelligence: concepts, issues and current systems. In: 2012 International Conference on Advanced Computer Science Application Technology, pp. 234–237 (2012).  https://doi.org/10.1109/acsat.2012.94
  11. 11.
    Wieder, B., Ossimitz, M.: The impact of business intelligence on the quality of decision making – a mediation model. Procedia Comput. Sci. 64, 1163–1171 (2015)CrossRefGoogle Scholar
  12. 12.
    Yeoh, W., Koronios, A.: Critical success factors for business intelligence systems. J. Comput. Inf. Syst. 50, 23–32 (2010)Google Scholar
  13. 13.
    Guster, D., Brown, C.G.: The application of business intelligence to higher education: technical and managerial perspectives. J. Inf. Technol. Manag. XXIII, 42–62 (2012)Google Scholar
  14. 14.
    Otto, B., Weber, K.: Data Governance. Daten- und Informationsqualität 269–286 (2015).  https://doi.org/10.1007/978-3-658-09214-6_16
  15. 15.
    Cardoso, E.: The current status of business intelligence initiatives in European Higher Education Institutions, pp. 1–2 (2014)Google Scholar
  16. 16.
    Jusoh, J.A., Endot, N., Hamid, N.A., Bongsu, R.H.R., Muda, R.: Conceptual framework of business intelligence analysis in academic environment using BIRT. In: International Conference on Informatics Application (ICIA 2012), Social Digital Information Wireless Communication, pp. 390–396 (2012)Google Scholar
  17. 17.
    Nofal, M.I., Yusof, Z.M.: Integration of business intelligence and enterprise resource planning within organizations. Procedia Technol. 11, 658–665 (2013)CrossRefGoogle Scholar
  18. 18.
    Tutunea, M.F., Rus, R.V.: Business intelligence solutions for SME’s. Procedia Econ. Financ. 3, 865–870 (2012)CrossRefGoogle Scholar
  19. 19.
    Hočevar, B., Jaklič, J.: Assessing benefits of business intelligence systems – a case study. Management 15, 87–119 (2010)Google Scholar
  20. 20.
    Hawking, P., Sellitto, C.: Critical success factors of business intelligence (BI) in an ERP systems environment. In: Proceedings of Conference on Research Practise Issues Enterprise Information System (2010)Google Scholar
  21. 21.
    Morien, D., Mungree, D., Rudra, A.: A framework for understanding the critical success factors of enterprise business intelligence implementation. In: Proceedings of Nineteenth American Conference on Information Systems, pp. 1–9 (2013)Google Scholar
  22. 22.
    Winterberry Group: The New Rules of the Road: Marketing Data Governance in the Era of “Big Data”, p. 27 (2013)Google Scholar
  23. 23.
    Thomas, G.: How to use the DGI data governance framework to configure your program. Data Governance Institute, p. 17 (2009)Google Scholar
  24. 24.
    Cheong, L.K., Chang, V.: The need for data governance: a case study. In: 18th Australasian Conference on Information Systems, pp. 999–1008 (2007)Google Scholar
  25. 25.
    Devlin, B.: BI data governance the secret of successful business decision making, pp. 1–11 (2017)Google Scholar
  26. 26.
    Oracle Data Quality Solutions: Data Governance with Oracle (2015)Google Scholar
  27. 27.
    Guster, D., Brown, C.: The application of business intelligence to higher education: technical and managerial perspectives. J. Inf. Technol. Manag. 23, 42–62 (2012)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of ComputingUniversiti Teknologi MalaysiaJohor BahruMalaysia
  2. 2.Azman Hashim International Business SchoolUniversiti Teknologi MalaysiaJohor BahruMalaysia

Personalised recommendations