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Delivering Knowledge to the Mobile Enterprise Implementation Solutions for a Mobile Business Intelligence

  • Gianmario Motta
  • Tianyi Ma
  • Linlin You
  • Daniele Sacco
Conference paper
Part of the Lecture Notes in Information Systems and Organisation book series (LNISO, volume 7)

Abstract

Almost all large companies analyze their performances through KPIs that are processed by Business Intelligence (BI) systems. Specifically, BI is a critical supporting system in service industry where even a little improvement in efficiency allows you to win the competition. It implies a continuous research of excellence in BI, exploiting all technologies supporting the whole information life cycle—collection, processing and distribution. Specifically, within information distribution, mobile devices have increased BI usability, since decision makers can track performance whenever (at any time) and wherever (they do not need to sit at their desk). This paper also illustrates the implementation of a mobile BI system in a customer care company. Our system uses a service-oriented architecture to integrate existing BI systems and our framework allows delivering a cross-platform mobile application to end users. Finally, we summarize the benefits given by a mobile BI solution in small and medium enterprises.

Keywords

Mobile business intelligence Service oriented architecture Key performance indicators Dashboard Analytics Reporting Service level 

References

  1. 1.
    Barakat, S.: Business intelligence in the mobile era. Am. Acad. Sch. Res. J.(AASRJ) 5, 3 (2013)Google Scholar
  2. 2.
    Sutton, N.: Bullish on business intelligence. Comput. Can. Willowdale 30, 14 (2004)Google Scholar
  3. 3.
    Rud, O.P.: Business Intelligence Success Factors, Tools for Aligning Your Business in the Global Economy, vol. 18. Wiley, New York (2009)Google Scholar
  4. 4.
    Aciar, S., et al.: Adaptive business intelligence for an open negotiation environment. In: 3rd IEEE International Conference on Digital Ecosystems and Technologies (2009)Google Scholar
  5. 5.
    O’Brien, J.A., Marakas, G.M.: Enterprise information systems. McGraw-Hill (2007)Google Scholar
  6. 6.
    O’Donnell, P., Sipsma, S., Watt, C.: The critical issues facing business intelligence practitioners. J. Decis. Syst. 21(3), 203–216 (2012)CrossRefGoogle Scholar
  7. 7.
    Stipic, A., BronzinT.: Mobile BI: the past, the present and the future. In: MIPRO, 2011 Proceedings of the 34th International Convention. IEEE (2011)Google Scholar
  8. 8.
    Airinei, D., Homocianu, D.: The mobile business intelligence challenge. Econ. Inform. 10(1), 5–12 (2010)Google Scholar
  9. 9.
    Sajjad, B., et al.: An open source service oriented mobile business intelligence tool. In: IEEE International Conference on Information and Communication Technologies (2009)Google Scholar
  10. 10.
    Evelson, B.: Trends 2011 and beyond: business intelligence. Forrester Res. Cambridge MA 31 (2011)Google Scholar
  11. 11.
    Chaudhuri, S., Dayal, U., Narasayya, V.: An overview of business intelligence technology. Commun. ACM 54(8), 88–98 (2011)CrossRefGoogle Scholar
  12. 12.
    Sin, D., et al.: Mobile web apps-the non-programmer’s alternative to native applications. IEEE 5th International Conference on Human System Interactions (2012)Google Scholar
  13. 13.
    Charland, A., Leroux, B.: Mobile application development: web versus native. Commun. ACM 54(5), 49–53 (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Gianmario Motta
    • 1
  • Tianyi Ma
    • 1
  • Linlin You
    • 1
  • Daniele Sacco
    • 1
  1. 1.Dipartimento di Ingegneria Industriale e della InformazioneUniversity of PaviaPaviaItaly

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