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Jobs Analysis for Business Intelligence Skills Requirements in the ASEAN Region: A Text Mining Study

  • Waranya PoonnawatEmail author
  • Eakasit Pacharawongsakda
  • Nuttaporn Henchareonlert
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 807)

Abstract

This paper applies text mining and data mining techniques to analyse online job advertisements related to Business Intelligence (BI) in web portals around the ASEAN region. Several techniques are applied: data preprocessing, tokenization, association rules (AR) with FP-Growth and visualisation. The research goal is the profiles of BI skills required for industry and the market. The results would be useful for individual to prepare for their BI competence, for faculties to prepare for BI-related courses and curriculum, and for organizations to prepare for Human Resource (HR) and job advertisement purposes.

Keywords

Text mining Business intelligence Skills Jobs 

References

  1. 1.
    Chiang, R.H., Goes, P., Stohr, E.A.: Business intelligence and analytics education, and program development: a unique opportunity for the information systems discipline. ACM Trans. Manage. Inf. Syst. (TMIS) 3, 12 (2012)CrossRefGoogle Scholar
  2. 2.
    Marjanovic, O., Dinter, B.: 25+ Years of Business Intelligence and Analytics Minitrack at HICSS: a text mining analysis. In: Proceedings of the 50th Hawaii International Conference on System Sciences, pp. 5338–5347 (2017)Google Scholar
  3. 3.
    Wixom, B., Ariyachandra, T., Douglas, D., Goul, M., Gupta, M., Gupta, B., Iyer, L., Kulkarni, U., Mooney, J.G., Phillips-Wren, G., Turetken, O.: The current state of business intelligence in academia: the arrival of big data. Commun. Assoc. Inf. Syst. 34, 1 (2014)Google Scholar
  4. 4.
    Luhn, H.P.: A business intelligence system. IBM J. Res. Dev. 2, 314–319 (1958)MathSciNetGoogle Scholar
  5. 5.
    Grimes, S.: BI at 50 Turns Back to the Future. InformationWeek (2008). http://www.informationweek.com/software/information-management/bi-at50-turns-back-to-the-future/d/d-id/1073576?. Accessed 28 Sept 2015
  6. 6.
    Power, D.J.: A brief history of decision support systems (2007). DSSResources.COM. http://www.groupdecisionroom.nl/artikelen/decisionsupport-system.pdf. Accessed 10 July 2015
  7. 7.
    Elena, C.: Business intelligence. J. Knowl. Manag. Econ. Inf. Technol. 1, 1–12 (2011)Google Scholar
  8. 8.
    Wixom, B., Watson, H.: The BI-based organization. Int. J. Bus. Intell. Res. 1, 13–28 (2010)CrossRefGoogle Scholar
  9. 9.
    Chiang, R.H.L., Goes, P., Stohr, E.A.: Business intelligence and analytics education, and program development. ACM Trans. Manag. Inf. Syst. 3, 12:1–12:13 (2012)CrossRefGoogle Scholar
  10. 10.
    Tan, A.-H.: Text mining: the state of the art and the challenges. In: Proceedingsof the PAKDD 1999 Workshop on Knowledge Discovery from Advanced Databases, vol. 8, pp. 65–70 (1999)Google Scholar
  11. 11.
    Cai, Y., Sun, J.-T.: Text Mining. Encyclopedia of Database Systems, pp. 3061–3065. Springer (2009)Google Scholar
  12. 12.
    Litecky, C., Aken, A., Ahmad, A., Nelson, H.J.: Mining for computing jobs. Comm. ACM. 48, 9194 (2005)Google Scholar
  13. 13.
    Debortoli, S., Muller, O., vom Brocke, J.: Comparing business intelligence and BigData Skills. Bus. Inf. Syst. Eng. 6, 289–300 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Waranya Poonnawat
    • 1
    Email author
  • Eakasit Pacharawongsakda
    • 2
  • Nuttaporn Henchareonlert
    • 1
  1. 1.School of Science and TechnologySukhothai Thammathirat Open UniversityNonthaburiThailand
  2. 2.Big Data Engineering Program, College of Innovative Technology and EngineeringDhurakij Pundit UniversityBangkokThailand

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