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The Analysis of Log-Ins to the E-Register Using Business Intelligence

Author

Listed:
  • Jacek CypryjaÅ„ski

    (Uniwersytet Szczeciński)

  • Aleksandra Grzesiuk

    (Zachodniopomorski Uniwersytet Technologiczny w Szczecinie)

Abstract

The major challenges facing IT are the increase in information collected in databases, and thus, the development of Business Intelligence, methods and tools allowing for analyses of large data sets. The prevalence of IT systems is also seen in the education sector. The example is the e-register in Poland. The authors are focused on the broad opportunities for useful analysis based on data collected in databases, such as the e-register. The paper presents the case study of the e-register implemented in primary and secondary schools in Szczecin. The aim of the research paper is to analyze data collected via the login system to the e-register to show the users’ interest in the system and to comment their behaviors. A Business Intelligence method, QlikView, was used for storing, organizing and manipulating data. This case shows the ability to process large amounts of data, beyond the mere possibility of typical spreadsheets. The database used in the analysis covered more than 10 million records. In terms of education management, the presented case study provides data regarding the use of the e-register by teachers, parents and students.

Suggested Citation

  • Jacek CypryjaÅ„ski & Aleksandra Grzesiuk, 2017. "The Analysis of Log-Ins to the E-Register Using Business Intelligence," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 46, pages 51-64.
    • Handle: RePEc:sgh:annals:i:46:y:2017:p:51-64
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    References listed on IDEAS

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    1. Farmer, Roger E.A., 2016. "The Evolution Of Endogenous Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 20(2), pages 544-557, March.
    2. Ignatiuk A., 2016. "Business intelligence for insurance companies," Bulletin of Taras Shevchenko National University of Kyiv. Economics. Вісник Киiвського нацiонального унiверситету iм. Тараса Шевченка. Серiя: Економiка, CyberLeninka;Издательско-полиграфический центр «Киевский университет», issue 6 (183), pages 10-15.
    3. ., 2016. "SCA: the search for a new core business," Chapters, in: Rethinking Corporate Governance, chapter 13, pages 366-408, Edward Elgar Publishing.
    4. Wil M. P. Aalst & Marcello La Rosa & Flávia Maria Santoro, 2016. "Business Process Management," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(1), pages 1-6, February.
    Full references (including those not matched with items on IDEAS)

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