Multi-Criteria Evaluation of BI Systems. The Case Study of InKoM Dashboard

• Autorzy: Mirosław Dyczkowski , Jerzy Korczak , Helena Dudycz

Warianty tytułu

Wielokryterialna ewaluacja systemów Business Intelligence. Studium przypadku kokpitu menedżerskiego InKoM

• Języki publikacji: EN

Abstrakty

EN

The article presents an approach to evaluate the BI systems applied in the InKoM project. The evaluation method is based on a scorecard framework, oriented towards Decision Support Systems and projects dedicated to the management supporting of small and medium enterprises (SME). To design the method, known existing BI maturity models, usability standards, and scorecard frameworks have been analyzed and adapted to SMEs area. Notably, the scorecard framework was extended to the new evaluation criteria associated with innovative functions created in the InKoM project, especially such as ontologies of economic and financial knowledge, and visual navigation and exploratory interface based on topic maps. The selected elements of the scorecard framework and usage in InKoM of multi-criteria evaluation are illustrated and discussed in this paper.(original abstract)

W artykule przedstawiono podejście do ewaluacji systemów Business Intelligence (BI) zastosowane w projekcie InKoM. Metoda ewaluacji opiera się na ramowej karcie wyników, zorientowanej na systemy wspomagania decyzji (DSS) i projekty DSS wspomagające zarządzanie w małych i średnich przedsiębiorstwach (MŚP). Opracowując metodę ewaluacji, przeanalizowano i dostosowano do obszaru MŚP znane, dostępne na rynku modele dojrzałości BI, standardy użyteczności i ramowe karty wyników. Warto zauważyć, że ramowe karty wyników zostały rozszerzone o nowe kryteria oceny, związane z innowacyjnymi, opartymi na wiedzy funkcjonalnościami stworzonymi w projekcie InKoM, w szczególności takimi jak ontologie wiedzy ekonomicznej i finansowej oraz interaktywny, wizualny interfejs nawigacji i eksploracji oparty na mapie pojęć. Wybrane elementy rozszerzonej ramowej karty wyników oraz procedura jej zastosowania w wielokryterialnej ewaluacji projektu InKoM są przedstawione i omówione w niniejszym artykule.(abstrakt oryginalny)

Słowa kluczowe

EN

Business Intelligence systems

PL

Systemy Business Intelligence

• Czasopismo: Informatyka Ekonomiczna / Uniwersytet Ekonomiczny we Wrocławiu
• Rocznik: 2014
• Numer: nr 3 (33)
• Strony: 46--60

Twórcy

autor

Mirosław Dyczkowski

• Wrocław University of Economics, Poland

autor

Jerzy Korczak

• Wrocław University of Economics, Poland

autor

Helena Dudycz

• Wrocław University of Economics, Poland

Bibliografia

• Chandler N., Hostmann B., Rayner N., Herschel G., 2011, Gartner's Business Analytics Framework, Gartner, Inc. no. G00219420, 20 September 2011, http://www.gartner.com/imagesrv/summits/docs/na/business-intelligence/gartners_business_analytics__219420.pdf.
• Describing the BI journey. The HP Business Intelligence (BI) Maturity Model, 2012, White paper no. 4AA3-9723EEW, created June 2012, http://h20195.www2.hp.com/v2/GetPDF.aspx%2F4AA3-9723EEW.pdf.
• Dudycz H., 2010, Visualization methods in Business Intelligence systems - an overview, [in:] Korczak J. (ed.), Data Mining and Business Intelligence, Research Papers of Wroclaw University of Economics, no. 104, Business Informatics 16, pp. 9-24.
• Dudycz H., 2011, Research on usability of visualization in searching economic information in topic maps-based application for return on investment indicator, [in:] Korczak J., Dudycz H., Dyczkowski M. (eds.), Advanced Information Technologies for Management - AITM'2011. Intelligent Technologies and Applications, Wrocław University of Economics Research Papers no. 206, pp. 45-58.
• Dudycz H., 2012, The concept of using standard topic map in Business Intelligence system, [in:] Birov D., Todorova Y. (eds.), Proceedings of the 5th International Conference for Entrepreneurs, Innovation and Regional Development - ICEIRD 2012, St. Kliment Ohridski University Press, Sofia, pp. 228-235.
• Dyczkowski M., Korczak J., Dudycz H., 2014, Multi-criteria evaluation of the intelligent dashboard for SME managers based on scorecard framework, [in:] Ganzha M., Maciaszek L., Paprzycki M. (eds.), Proceedings of the 2014 Federated Conference on Computer Science and Information Systems. Annals of Computer Science and Information Systems, vol. 2, Polskie Towarzystwo Informatyczne, Warsaw, Institute of Electrical and Electronics Engineers, New York City, pp. 1147- -1155.
• Eckerson W., 2006, Business Intelligence Maturity Model, The Data Warehousing Institute TDWI, 1 March 2006, http://www.eurim.org.uk/activities/ig/voi/03-01-06_Executive_Series_Assessing_Your_BI_Maturity.pdf.
• Farrokhi V., Pokorádi L., 2012, The necessities for building a model to evaluate Business Intelligence projects - literature review, International Journal of Computer Science & Engineering Survey (IJCSES), vol. 3, no. 2, April, pp. 1-10.
• Fedouaki F., Okar Ch., El Alami S., 2013, A maturity model for Business Intelligence System project in Small and Medium-sized Enterprises: An empirical investigation, IJCSI International Journal of Computer Science Issues, vol. 10, issue 6, no. 1, November, pp. 61-69.
• Ghilic-Micu B., Stoica M., Mircea M., 2008, A framework for measuring the impact of BI solution, [in:] Proceedings of the 9th WSEAS International Conference on Mathematics & Computers in Business and Economics (MCBE '08), http://www.wseas.us/e-library/conferences/2008/bucharest/mcbe/10mcbe.pdf.
• Gibcus P., Vermeulen P.A.M., Jong J.P.J., 2009, Strategic decision making in small firms: A taxonomy of small business owners, International Journal of Entrepreneurship and Small Business, vol. 7, no. 1, pp. 74-91.
• Gibson M., Arnott D., Jagielska I., 2004, Evaluating the intangible benefits of Business Intelligence: Review & research agenda, Decision Support Systems Laboratory, pp. 295-305.
• Howson C., 2008, Successful Business Intelligence: Secrets to Making BI a Killer Application, McGraw-Hill, New York.
• Howson C., 2013, Successful Business Intelligence, Second Edition: Unlock the Value of BI & Big Data, McGraw-Hill Education, New York.
• Hribar Rajterič I., 2010, Overview of Business Intelligence Maturity Models, Management, vol. 15, no 1, pp. 47-67.
• Korczak J., Dudycz H., 2009, Approach to visualization of financial information using topic maps, [in:] Kubiak B.F., Korowicki A. (eds.), Information Management, Gdańsk University Press, Gdańsk, pp. 86-97.
• Korczak J., Dudycz H, Dyczkowski M., 2012a, Intelligent Dashboard for SME managers. Architecture and functions, [in:] Ganzha M., Maciaszek L., Paprzycki M. (eds.), Proceedings of the Federated Conference on Computer Science and Information Systems FedCSIS 2012, Polskie Towarzystwo Informatyczne, IEEE Computer Society Press, Warsaw, Los Alamitos, CA, pp. 1003-1007.
• Korczak J., Dudycz H., Dyczkowski M., 2012b, Intelligent decision support for SME managers - project InKoM, Business Informatics (Informatyka Ekonomiczna), no. 3 (25), pp. 84-96.
• Korczak J., Dudycz H., Dyczkowski M., 2013a, Design of financial knowledge in dashboard for SME managers, [in:] Ganzha M., Maciaszek L., Paprzycki M. (eds.), Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Polskie Towarzystwo Informatyczne, IEEE Computer Society Press, Warsaw, Los Alamitos, CA, pp. 1111-1118.
• Korczak J., Dudycz H., Dyczkowski M., 2013b, Specification of financial knowledge - the case of Intelligent Dashboard for Managers, Business Informatics (Informatyka Ekonomiczna), no. 2 (28), pp. 56-76.
• Korczak J., Dudycz H., Dyczkowski M., 2014, Inteligentny Kokpit Menedżerski jako innowacyjny system wspomagający zarządzanie w MŚP, Informatyka Ekonomiczna (Business Informatics), no. 1 (31), pp. 288-303.
• Lahrmann G., Marx F., Winter R., Wortmann F., 2011, Business Intelligence Maturity: Development and evaluation of a theoretical model, [in:] Proceedings of the 44th Hawaii International Conference on System Science, http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5718882&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5718882.
• Olszak C., 2013, Assessment of Business Intelligence Maturity in the selected organizations, [in:] Ganzha M., Maciaszek L., Paprzycki M. (eds.), Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Polskie Towarzystwo Informatyczne, IEEE Computer Society Press, Warsaw, Los Alamitos, CA, pp. 951-958.
• Olszak C., Ziemba E., 2012, Critical success factors for implementing Business Intelligence systems in small and medium enterprises on the example of Upper Silesia, Poland, Interdisciplinary Journal of Information, Knowledge & Management, vol. 7, pp. 129-150.
• Popovič A., Turk T., Jaklič J., 2010, Conceptual model of business value of business intelligence systems, Management, vol. 15, no 1, pp. 5-29.
• Raber D., Wortmann F., Winter R., 2013, Towards the Measurement of Business Intelligence Maturity, [in:] Proceedings of the 21st European Conference on Information Systems, http://www.staff.science.uu.nl/~Vlaan107/ecis/.
• Sabol V., Kow W.O., Rauch M., Ulbrich E., Seifert Ch., Granitzer M., Lukose D., 2012, Visual ontology alignment system - an evaluation, [in:] Kerren A., Seipel S. (eds.), Interactive Visual Analysis of Data. Proceedings of SIGRAD 2012, Linköping Electronic Conference Proceedings, no. 81, pp. 9-18, http://www.ep.liu.se/ecp_home/index.en.aspx?issue=081.
• Schlegel K., Sallam R.L., Yuen D., Tapadinhas J., 2013, Magic Quadrant for Business Intelligence and Analytics Platforms, Gartner, Inc. no. G00239854, 5 February 2013, http://www.walmeric.com/body/pm/2013_gartner_magic_quadrant_for_bi_and_analytics.pdf.
• Think Small First. A "Small Business Act" for Europe, 2008, Communication from the Commission of the European Communities COM (2008) 394 final, 25 June 2008, Brussels, http://www.socialeconomy.eu.org/spip.php?article531/COM-2008-0394-FIN-EN-TXT.
• Whittemore B., 2008, The Business Intelligence ROI Challenge: Putting It All Together, Business Intelligence Best Practices, http://www.bi-bestpractices.com/view/4782.
• Wisdom of Crowdsâ Business Intelligence Market Study. 2013 Edition, Licensed to Information Builders, Dresner Advisory Services, LLC, 20 May 2013, http://www.informationbuilders.com/tracker/email/new/pdf/2013_wisdom_of_crowds_bi_market_study.pdf.
• Wisdom of Crowdsâ Mobile Computing / Mobile Business Intelligence Market Study. 2013 Edition, Licensed to MicroStrategy, Dresner Advisory Services, LLC, 11 December 2013,https://www.microstrategy.com/Strategy/media/downloads/white-papers/mobile_dresner-mobile-bi-study-2013.pdf.
• Wisdom of Crowdsâ Small and Mid-Sized Enterprise Business Intelligence Market Study. 2013 Edition, Licensed to TIBCO Software, Dresner Advisory Services, LLC, 6 November 2013, http://explore.tibco.com/rs/tibcospotfire/images/Wisdom_of_Crowds_SME_BI_Report-Licensed_to_TIBCO_Software-Copyright_2013.pdf.
• Wise L., 2008, The emerging importance of data visualization, part 1, October 29, 2008, http://www.dashboardinsight.com/articles/business-performance-management/the-emerging-importance-of-data-visualization-part-1.aspx.

Identyfikatory

DOI

10.15611/ie.2014.3.04