Visualization Methods in Business Intelligence Systems : an Overview

• Autorzy: Helena Dudycz

Warianty tytułu

Metody wizualizacji w systemach Business Intelligence : przegląd rozwiązań

• Języki publikacji: EN

Abstrakty

EN

Recently the quick obtainment of critical business information is very significant problem for managers, because executives of many enterprises decide to implement business intelligence (BI) applications. The usefulness of these systems is not decided by the amount of information to receive, but the amount and type of information which is required at the right moment. Visualization of the information or data should be considered as a one of the most important aspects of implementation of BI systems. Decision-makers also pay attention to easy-to-use and to understand visual techniques of data interpretation. In this paper, a solution of visualization information of business intelligence systems is presented. Solutions of visualization used in analytical applications of business intelligence systems arc characterized. Basic directions of conducted researches concerning the use of visualization methods in BI systems are indicated.(original abstract)

Konieczność pozyskiwania przez kadrę kierowniczą istotnych informacji, pochodzących z wielu źródeł, stała się jedną z przyczyn wdrażania systemów business intelligence (BI). O ich przydatności decyduje nie ilość informacji dostarczanej w różnorodnych raportach, ale jej adekwatność do zaistniałego problemu i odpowiednia szczegółowość oraz sposób jej prezentacji. Istotnym elementem aplikacji BI jest wizualizacja, nie tylko stanowić ca graficzną formę przekazu, ale będąca również narzędziem wyszukiwania potrzebnych informacji. W niniejszym artykule skoncentrowano się na przeglądzie wykorzystania wizualizacji informacji w systemach BI. Przeprowadzono analizę zastosowania metod graficznych w aplikacjach analitycznych BI oraz wskazano i krótko omówiono trzy podstawowe obszary badań, prowadzonych nad wykorzystaniem wizualizacji w systemach BI.(abstrakt oryginalny)

Słowa kluczowe

EN

Business intelligence; Data visualisation; Information management

PL

Wywiad gospodarczy; Wizualizacja danych; Zarządzanie informacją

• Czasopismo: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Informatyka Ekonomiczna
• Rocznik: 2010
• Tom: 16
• Numer: nr 104 Data Mining and Business Intelligence
• Strony: 9--24

Twórcy

autor

Helena Dudycz

• Wrocław University of Economics, Poland

Bibliografia

• Atzmueller M., Puppe F. (2005), Semi-automatic visual subgroup mining using YIKAMINE, Journal Of Universal Computer Science, Vol. 11, No. 11, pp. 1752-1765.
• Baltzan P., Phillips A. (2009), Business Driven Information Systems, McGraw-Hill, New York.
• Biere M. (2003), Business Intelligence for the Enterprise, IBM Press.
• Blahunka R. (2007), Strategic Versus Tactical Designing Dashboard Data Delivery, September 6, 2007, http://www.dashboardinsight.com/articles/digital-dashboards/fundamentals/strategic-versus-tactical-designing-dashboard-data-delivery.aspx.
• Burkhard R.A., Meier M. (2005), Tube map visualization: Evaluation of a novel knowledge visualization application for the transfer of knowledge in long-term projects, Journal of Universal Computer Science, Vol. 11, No. 4, pp. 473-494.
• Dodd N. (2007), Using Dashboard-Based Business Intelligence Systems. An Approach to Improving Business Performance, September 14, 2007, http://www.dashboardinsight.com/articles/digital-dashboards/fundamentals/pepperdine-using-dashboards.aspx.
• Dudycz H. (1998), Wizualizacja danych jako narzędzie wspomagania zarządzania przedsiębiorstwem, Wydawnictwo Akademii Ekonomicznej we Wrocławiu, Wrocław.
• Dudycz H. (2005), Badania wstępne dotyczące oceny rozwiązań informatycznych przez kadrę kierowniczą, [in:] Systemy Wspomagania Organizacji SWO '2005, Eds. T. Porębska-Miąc, H. Sroka, Wydawnictwo Akademii Ekonomicznej w Katowicach, Katowice, pp. 37-45.
• Dudycz H. (2008a), Analysis of information systems in Polish companies and the realization of the Business Intelligence concept, [in:] Advanced Information Technologies for Management - AITM 2007, Eds. J. Korczak, H. Dudycz, M. Dyczkowski, Research Papers of Wrocław University of Economics No. 8 (1208), Publishing House of Wrocław University of Economics, Wrocław, pp. 40-48.
• Dudycz H. (2008b), The causes of use of the dashboard in early warning system, [in:] Advanced Information Technologies for Management - AITM'2008, Eds. J. Korczak, H. Dudycz, M. Dyczkowski, Research Papers of Wrocław University of Economics No. 35, Publishing House of Wrocław University of Economics, Wrocław 2008, pp. 58-66.
• Few S. (2006), Information Dashboard Design, Publisher O'Reilly MediaUSA.
• Grand B.L., Soto M. (2000), Information Management - Topic Maps Visualization, http://www.gca.org/papers/xmleurope2000/pdf/s29-03.pdf.
• Gray P. (2003), Business Intelligence: A new name or the future of DSS?, [in:] DSS in the Uncertainty of the Internet Age, Eds. T. Bui, H. Sroka, S. Stanek, J. Gołuchowski, University of Economics, Katowice, pp. 13-27.
• Hashmi N. (2000), BI for sale, http://www.intelligententerprise.com/channels/ applications/feature/2000/10/hashmiOct20.jhtml.
• Hatch D. (2007), Smart Decisions. The Role of Key Performance Indicators, October 16, 2007, http://www.dashboardinsight.com/articles/digital-dashboards/fundamentals/aberdeen-group-success. aspx.
• Jagielska I., Darke R, Zagari G. (2003), Business intelligence systems for decision support: Concepts, processes and practice, [in:] DSS in the Uncertainty of the Internet Age, Eds. T. Bui, H. Sroka, S. Stanek, J. Gołuchowski, University of Economics, Katowice, pp. 227-240.
• Keim D.A. (2002), Information visualization and visual data mining, IEEE Transactions on Visualization and Computer Graphics, Vol. 7, No. l, pp. 110-107.
• Keim D.A., Schneidewind J. (2005), Scalable visual data exploration of large data sets via MultiResolution, Journal of Universal Computer Science, Vol. 11, No. 11,pp. 1766-1779.
• Korczak J., Dudycz H. (2009), Approach to visualization of financial information using topic maps, [in:] Information Management, Eds. B.F. Kubiak, A. Korowicki, Gdańsk University Press, Gdańsk, pp. 86-97.
• Malik S. (2007a), The Silent March of Data Visualization, DM Review Special Report, http://www.dmreview.com/authors/1038946.html.
• Malik S. (2007b), Dashboard Evaluation. What are the Characteristics of a 'Best In Class 'Enterprise Dashboard?, December 17, 2007, http://www.dashboardinsight.com/articles/digital-dashboards/fundamentals/dashboard-evaluation.aspx.
• Morris W. (2009), Improve Operational Performance Visualizing and Analyzing Relevant KPI and KPD Metrics, March 16, 2009, http://www.dashboardinsight.com/articles/business-performance-management/improve-operational-performance.asp.
• Moss L.T., Atre S. (2003), Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications, Addison Wesley Professional, Boston.
• Olszak C.M., Ziemba E. (2007), Approach to building and implementing business intelligence systems, Interdisciplinary Journal of Information, Knowledge and Management, Vol. 2, pp. 135-148.
• Oracle (2007), Business Intelligence Solutions, http://www.oracle.com/solutions.
• Rossetti L. (2006), Definition Business Intelligence, http://whatis.com.
• SAS(r) Enterprise BI Server. Fast Deployment, Simple Integration and Consistent Data (2007), SAS Institute Inc., http://www.sas.com.
• Savioz P. (2004), Technology Intelligence. Concept Design and Implementation in Technology-based SMEs, Palgrave Macmillan, New York.
• Swoyer S. (2007), Dashboard Yea or Dashboard Nay? Digital Dashboards may be the Tool that will Finally Make BI Pervasive, October 22, 2007, http://www.dashboardinsight.com/articles/digital-dashboards/fundamentals/dashboard-yea-or-dashboard-nay.aspx.
• Tegarden D.P. (1999), Business information visualization. Tutorial, Communications of the Association for Information Systems, Vol. l, Paper 4 (January), pp. 1-38.
• Triple-Tree (2002), Business Intelligence & Enterprise Content Management, Spotlight Report, Vol. 5, http:// www.triple-tree.com.
• Turban E., Aronson J.E. (2001), Decision Support Systems and Intelligent Systems, Prentice Hall.
• Wheeler A. (2009), Dashboards' Role in a Business Intelligence Solution, May 4, 2009, http://www.dashboardinsight.com/articles/digital-dashboards/fundamentals/dashboards-role-in-a-business-intelligence-solution.aspx.
• Wise L. (2008), The Emerging Importance of Data Visualization, part l, October 29, 2008, http://www.dashboardinsight.com/articles/business-performance-management/the-emerging-importance-of-data-visualization-part-l .aspx.
• Zhu B., Chen H. (2005), Information Visualization, Annual Review of Information Science and Technology, Vol. 39, pp. 139-177.