Abstract
This research paper, discusses the different data visualization tools that are implemented for Business Intelligence by different organizations for the purpose of business analysis. Even though all tools are basically used for the same purpose, that is, data visualization, exploration and analysis, but each tool are very different from the other. Here we draw comparisons between all the tools and see that which tool proves to be most efficient and most effective in fulfilling the user demands. A case study on a project university analysis application is also discussed using the business intelligence and data visualization tool Qlikview. Hypothetical data of the last 5 years are used to analyze the placement record of both the universities. At the end of the case study a comparative analysis is shown in between two universities and analyze the performance of both the universities.
This is a preview of subscription content, log in via an institution to check access.
References
Boman, M., Digital Cities, EIT ICT Labs, pp. 12, www.eitdigital.eu/fileadmin/files/publications/130426_wp_digital_cities.pdf; University of St. Andrews, Scotland, Official website, www.st-andrews.ac.uk/qlikview/whatisqlikview (2012).
White Paper: Data Visualization: Making Big Data Approachable and Valuable, SAS, pp. 2, www.sas.com/content/dam/SAS/en_us/doc/whitepaper2/sas-data-visualization-marketpulse-106176.pdf (2012).
Gray, P., Business Intelligence: a new name or the Future of DSS? in DSS in the Uncertainty of the Internet Age. Eds Bui T., Sroka H., Stanek S. Goluchowski J., Publisher of the Karol Adamiecki University of Economics, Katowice. (2003).
7 Things You Should Know About Data Visualization, Educause learning initiative, http://go.wisc.edu/787fpp (2009).
White paper: Data Visualization Techniques-From Basics to Big Data with SAS® Visual Analytics, SAS, http://www.sas.com/offices/NA/canada/downloads/IT-World2013/Data-Visualization-Techniques.pdf (2012).
Gibson, M., Arnott, D., Jagielska, I: Evaluating the Intangible Benefits of Business Intelligence: Review & Research Agenda”, http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.94.8550&rep=rep1&type=pdf (2004).
White Paper: What makes QlikView unique-A Qlik White Paper, http://www.qlik.com/us/explore/resources/whitepapers/what-makes-qlikview-unique (2014).
Bertini, E., Univ. of Konstanz, Konstanz, Germany; Tatu, A., Keim, D.,: Quality Metrics in High-Dimensional Data Visualization: An Overview and Systematization, Visualization and Computer Graphics, IEEE Transactions on Volume:17, Issue:12, http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=6064985&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D6064985 (2011).
White Paper: The IBM Cognos platform: Meeting the needs of both business users and IT, IBM Software Group, http://www.5xtechnology.com/Portals/92116/docs/ibm_cognos_platform.pdf (2009).
BusinessIntelligence.com, businessintelligence.com/bi-vendors/tibco-spotfire.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer India
About this paper
Cite this paper
Shukla, A., Dhir, S. (2016). Tools for Data Visualization in Business Intelligence: Case Study Using the Tool Qlikview. In: Satapathy, S.C., Mandal, J.K., Udgata, S.K., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 434. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2752-6_31
Download citation
DOI: https://doi.org/10.1007/978-81-322-2752-6_31
Published:
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-322-2750-2
Online ISBN: 978-81-322-2752-6
eBook Packages: EngineeringEngineering (R0)