Decision Support in E-Government – A Pervasive Business Intelligence Approach

Case Study in a Local Government
  • Rui TeixeiraEmail author
  • Fernando Afonso
  • Bruno Oliveira
  • José Machado
  • António Abelha
  • Manuel Filipe Santos
  • Filipe Portela
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 354)


Business Intelligence (BI) systems are being increasingly used by organizations and considered as an advantage, which goal is to offer access to information in a timely manner to support the decision-making process. Simultaneously, the local government has put forward quality assurance systems, with the goal of improving efficiency of internal processes, who require timely and quality information to function. However it should be noted that this is an area of activity with peculiar characteristics that must be taken into account. This paper presents a real case study and the development of a pervasive BI functional solution implemented in local government, providing support and improving the quality of processes. The developed solution brings some important contributions and represents some advances in the e-Government context applied to local governments. This solution is able to accommodate a wide range of users, with the information available anytime and anywhere, capable of issuing alerts and being ubiquitous, scalable and have real-time data availability.


Pervasive BI Real-Time Business Intelligence E-government Local Government Decision making 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Adelakun, O.: The Role of Business Intelligence in Government: A Case Study of a Swedish Municipality Contact Center (2012)Google Scholar
  2. 2.
    Bélanger, F., Carter, L.: Digitizing Government Interactions with Constituents: An Historical Review of E-Government Research in Information Systems. JAIS 13, 363–394 (2012)Google Scholar
  3. 3.
    Bernhard, I.: Local E-government in Sweden–establishment of Municipal Contact Centers with focus on the citizens and the public administrators. In: Proceedings of the 51st European Congress of the Regional Science Association (2011)Google Scholar
  4. 4.
    Chaudhuri, et al.: An overview of business intelligence technology. Communications of the ACM 54(8), 88–98 (2011)Google Scholar
  5. 5.
    Coman, M.: Business Intelligence and E-governance. Lex ET Scientia International Journal (LESIJ) XVI-1, 484–491 (2009)Google Scholar
  6. 6.
    CPA, Decreto-Lei n.º 442/91. D.R. n.º 263, Série I-A de 1991-11-15, actualizado pelo Decreto-Lei nº 18/2008, Presidência do Conselho de Ministros (2008)Google Scholar
  7. 7.
    Eckerson, W.W.: Pervasive Business Intelligence. TDWI Best Practices Report, USA (2008)Google Scholar
  8. 8.
    Inmon, W.H.: Building the Data Warehouse, 4th edn. Wiley, New York (2005)Google Scholar
  9. 9.
    Kimball, R., Ross, M.: The Data Warehouse Toolkit: the complete guide to Dimensional Modeling. John Wiley & Sons, Inc., New York (2006)Google Scholar
  10. 10.
    Loshin, D.: Business intelligence: the savvy manager’s Guide. Elsevier, 225 Wyman Street, Waltham, MA 02451, USA (2012)Google Scholar
  11. 11.
    Markarian, J., Brobst, S., Bedell, J.: Critical Success Factors Deploying Pervasive BI. Informatica, Teradata, Microstrategy (2007)Google Scholar
  12. 12.
    MicroStrategy, Inc., MicroStrategy Business Intelligence And Government,
  13. 13.
    Negash, S.: Business Intelligence. Communications of the Association for Information Systems 13 (2004)Google Scholar
  14. 14.
    Nguyen, et al.: Sense & response service architecture: an approach towards a real-time business intelligence solution and its use for a fraud detection application. In 8th ACM International on DW and OLAP, pp. 77–86. ACM (2005)Google Scholar
  15. 15.
    OCDE, Making Life Easy For Citizens And Businesse. In: Portugal - Administrative Simplification And E-Government. OCDE, Paris (2008)Google Scholar
  16. 16.
    Peffers, K., et al.: A design science research methodology for information systems research. Journal of Management Information Systems 24(3), 45–77 (2007)CrossRefGoogle Scholar
  17. 17.
    Portela, C.F., Santos, M.F., Silva, Á., Machado, J., Abelha, A.: Enabling a Pervasive Approach for Intelligent Decision Support in Critical Health Care. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds.) CENTERIS 2011, Part III. CCIS, vol. 221, pp. 233–243. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  18. 18.
    Portugal, Estrutura Interna dos Serviços do Município de Guimarães. Despacho nº 16970-A/2013. Diário da Republica nº 253, 3º Suplemento da Série II de 2013-12-31 (2013)Google Scholar
  19. 19.
    Power, D.J.: Decision Support Systems: Concepts and Resources for Managers. Quorum, Greenwood (2002)Google Scholar
  20. 20.
    QlikView, SCALABILITY OVERVIEW, Qlik Technology White Paper Series (2011)Google Scholar
  21. 21.
    Rainardi, V.: Building a Data Warehouse: With Examples in SQL Server. Apress, USA (2007)Google Scholar
  22. 22.
    Smith, A.D.: Business and e-government intelligence for strategically leveraging information retrieval. Electronic Government, an International Journal (2008)Google Scholar
  23. 23.
    Souza, R., Pereira, A.: A Business Intelligence Methodology for E-government Reverse Auctions. In: IEEE Conference on Commerce and Enterprise Computing (2009)Google Scholar
  24. 24.
    Teixeira, R., Portela, F., et al.: Business Intelligence to improve the quality of Local Government Services - Case-Study in a Local Government Town Hall. KMIS, Italy (2014)CrossRefGoogle Scholar
  25. 25.
    Turban, E., Sharda, R., Delen, D.: Decision support and business intelligence systems, 9th edn. Prentice Hall Press, Upper Saddle River (2010)Google Scholar
  26. 26.
    Turricchia, E.: Pervasive Business Intelligence. ALMA, Italy (2013)Google Scholar
  27. 27.
    Vercellis, C.: Front Matter. Business Intelligence: Data Mining and Optimization for Decision Making. Politecnico di Milano. A John Wiley and Sons, Ltd., Italy (2009)CrossRefGoogle Scholar
  28. 28.
    Vesset, D., McDonough, B.: Improving Organizational Performance Management Through Pervasive Business Intelligence. IDC, Framingham (2009)Google Scholar
  29. 29.
    Watson, H.J., et al.: Real-time business intelligence: Best practices at Continental Airlines. Information Systems Management (2006)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rui Teixeira
    • 1
    Email author
  • Fernando Afonso
    • 3
  • Bruno Oliveira
    • 3
  • José Machado
    • 2
  • António Abelha
    • 2
  • Manuel Filipe Santos
    • 2
  • Filipe Portela
    • 2
  1. 1.Universidade do MinhoGuimarãesPortugal
  2. 2.Centro AlgoritmiUniversidade do MinhoGuimarãesPortugal
  3. 3.Câmara Municipal de GuimarãesGuimarãesPortugal

Personalised recommendations