Revista UIS Ingenierías

Vol. 15 No. 1 (2016): Revista UIS Ingenierías
Articles

Profile of research on business intelligence solutions in Latin America

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  • A. Bustamante,
  • E. Galvis,
  • L.C. Gómez
A. Bustamante
Universidad Industrial de Santander
Bio
E. Galvis
Universidad del Magdalena
Bio
L.C. Gómez
Universidad Industrial de Santander
Bio
DOI: https://doi.org/10.18273/revuin.v15n1-2016004

Published 2016-04-22

Keywords

  • Business Intelligence,
  • latin america,
  • scientometric

How to Cite

Bustamante, A., Galvis, E., & Gómez, L. (2016). Profile of research on business intelligence solutions in Latin America. Revista UIS Ingenierías, 15(1), 41–51. https://doi.org/10.18273/revuin.v15n1-2016004

Copyright (c) 2016 Revista UIS Ingenierías

Creative Commons License

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

Abstract

This study presents a detailed analysis of research developed on Business Intelligence in Latin America, between 2000 and 2012. The data of this study was taken from the largest abstract and citation database of peer-reviewed literature,SCOPUS. It was analysed using the methodology proposed by Alan Porter. The software used to support the scientometric analysis techniques was The Vantage Point. The results show an increasing growth in literature on Business Intelligence, which has increased from 22 items in 2000 to 261 in 2012. Additionally, it is evident that the most of the researched topics are related with data mining and that Brazilian Institutions produce most of the literature in the region: approximately 56% of the publications come from this country.



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References

  1. WW. Eckerson, Performance Dashboards: Measuring, Monitoring, and Managing Your Business, 2nd ed. USA: Wiley, 2010. ISBN 0470589833.
  2. RM. Bogza, D. Zaharie, “Business intelligence as a competitive differentiator” en IEEE International Conf. on Automation Quality and Testing, Robotics Proc., Cluj-Napoca, 2008, pp. 146–151. DOI: 10.1109 /AQTR.2008.4588724
  3. E. Thomsen, E, “BI’s Promised Land,” Intell. Enterprise, vol. 6, no. 4, pp. 21-25, 2003.
  4. D. Veset et al., “Worldwide Business Analytics Software 2013-2017 Forecast and 2012 Vendor Shares,” IDC, No. 241689, 2013.
  5. RV. Gartner, J. Rivera. (2013, May 20). Gartner Says Business Intelligence/Analytics Is Top Area for CFO Technology Investment Through 2014 [Comunicado de prensa, en línea]. Disponible en: http://goo.gl/rhwrm3
  6. R. Feldman, J. Sanger, The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data, 1a ed. NY, USA: Cambridge University Press, 2007. ISBN 9780521836579.
  7. L. Heilig, S. Voß, “A Scientometric Analysis of Cloud Computing Literature,” IEEE Trans. on Cloud Comp., vol. 2, no. 3, pp 266-278, Abr. 30, 2014. DOI: 10.1109/TCC.2014.2321168
  8. HH. Tsai, JK. Chiang,TSAI, “E-commerce literature trend forecasting: A study of bibliometric methodology,” en 4th International Conference on New Trends in Information Science and Service Science (NISS), Gyeongju, Corea del Sur, 2010, pp. 671 - 676.
  9. AN. Mohamad, MN. Masrek, ARA. Rasam, “A bibliometric analysis on scientific production of Geographical Information System (GIS) in Web of Science,” en International Conference of Information and Communication Technology (ICoICT), Bandung, Indonesia, 2013, pp. 264-268. DOI: 10.1109 /ICoICT.2013.6574584
  10. AL. Porter, SW. Cunningham, Tech Mining: Exploiting New Technologies for Competitive Advantage. 1a ed. NJ, USA: Wiley-Interscience, John Wiley & Sons, Inc., 2005. ISBN-13: 047147567X.
  11. Academic Ranking of World Universities 2014 [Ranking de 500 universidades, en línea]. Disponible en: http://www.shanghairanking.com/ARWU2014.html.
  12. E. Fields. (2013, Dic. 2). Top 10 Trends in Business Intelligence for 2014 [Entrada de blog]. Disponible en: http://goo.gl/eMB9zJ
  13. S. Chaudhuri, U. Dayal, V. Narasayya, “An Overview of Business Intelligence Technology,” Comm. Of the ACM, vol. 54, no. 8, pp 88-98, 2011. DOI: 10.1145/1978542.1978562