Proposed Metrics for Agile Business Intelligence

Authors

  • Samya Hadi Najar Mansoura University Author
  • Mostafa Obaid Gawad Mansoura University Author

DOI:

https://doi.org/10.59992/IJCI.2023.v2n8p2

Keywords:

Business Intelligence, Software Application, Agile Methods, Goal Question Metrics, Team Performance

Abstract

Business Intelligence has become the front of demanding technologies. The large or midsize companies need technology to adapt to changing requirements, to deal with a rich amount of data; to get correct information, to analyze data, and finally to quickly support decision makers. Developing an agile BI application can be defined as a short-delivering software application. This process is based on frequently adapting to changing requirements, involving customer participation, and delivering high-quality applications. Agile teams need a set of reliable metrics to measure their performance at different three levels: functionality, content, and scalability. This paper proposes Goal Question Agility Metrics that can be used in measuring the performance of agile teams working in developing business intelligence applications. Goal Question Agility Metrics is based on the Goal Question Metrics method that was developed by Victor Basili in 1994 [19]. In addition, Goal Question Agility Metrics depend on agile and BI concepts. GQAM proposes a set of metrics that are used to measure performance. The GQAM will be subjected to experiments using a real data set in the future.

Author Biographies

  • Samya Hadi Najar, Mansoura University

    Master of Information Systems, Faculty of Computers and Artificial Intelligence, Mansoura University, Egypt

  • Mostafa Obaid Gawad, Mansoura University

    Ph.D. Researcher, Dept. of Information Systems, Faculty of Computers and Artificial Intelligence, Mansoura University, Egypt

References

[1] Celina M. Olszak, Kornelia Batko, “Business Intelligence Systems New Chances and Possibilities for Healthcare Organizations”, Business Informatics, Wroclaw, vol. 3, issues 25, pp.123-138, 2012.

[2] Jayanthi Ranjan, “Business Intelligence: Concepts, Components, Techniques and Benefits”, Journal of Theoretical and Applied Information Technology, vol. 9, No. 1, pp.60-70, 2009.

[3] Martha Bennett, Boris Evelson, “Best Practices: Maximize Your Chances of Business Intelligence Success”, Forrester Research Inc, 2013.

[4] Baars Henning, Zimmer Michael, “A Classification for Business Intelligence Agility Indicators”, Proceedings of the 21st European Conference on Information Systems, AIS Electronic Library, 2013.

[5] Olbrich Sebastian, Knabk Tobias, “Agile Behavior of Business Intelligence Systems: an Empirical Study on the Impact of In-Memory Technology”, Proceedings of the 21st European Conference on Information Systems, AIS Electronic Library, 2013.

[6] Mohammad Moniruz zaman, Sherah Kurnia, Alison Parke, Sean B. Maynard, “Business Intelligence and Supply Chain Agility”, Australasian Conference on Information Systems, 2015.

[7] David Stodder, “Achieving Greater Agility with BI”, TDWI Research, 2013.

[8] Surendra Devara Palli, Rikard Lindgren, “Agile Business Intelligence Development Core Practices”, Master thesis in Informatics, 2013.

[9] Boris Evelson, “Agile BI Out of the Box”, Forrestor, 2010.

[10] Irina-Bogdana Pugna, Dana-Maria Boldeanu, “Integration of Knowledge Management and Business Intelligence Innitiatives in a Collaborative Intelligence Framework”, Researchgate, 2013.

[11] Saeed Rouhani, Amir Ashrafi, Ahad Zare Ravasan, Samira Afshari, “The impact model of business intelligence on decision support and organizational benefits", Journal of Enterprise Information Management, vol. 29, issue 1, pp. 1-28, 2016.

[12] Kuldeep Deshpande, Bhimappa Desai, “Model for Assessment of Agile Methodology for Implementing Data Warehouse Projects”, International Journal of Applied Information Systems, vol. 9, No.8, pp. 42 -50, 2015.

[13] Gartner, “A practical framework for business intelligence and planning in midsize companies”, 2009.

[14] Elliot King,” Key Metrics for Determining ROI for Business Intelligence Implementations”, Unisphere, 2007.

[15] Wayne W. Eckerson, “Performance Management Strategies”, IBM, 2009.

[16] Ian Sommerville, “Software Engineering”, Pearson, 2011.

[17] Evelson, B., “Agile Business Intelligence Platforms” Forrester's, 2014.

[18] http://competitive-intelligence.mirum.net/business-intelligence/definition-business-intelligence.html

[19] Victor Basili, Gianluigi Caldiera, Dieter Rombash, “Goal Question Metrics paradigms”, John Wily & sons, 1994.

[20] Dominique Ferrand, Daniel Amyot, “Towards a Business Intelligence Framework for Healthcare Safety”, Journal of Internet Banking and Commerce, vol. 15, no.3, 2010.

[21] Michael Zimmer, Henning Baars, Hans-Georg Kemper, “The Impact of Agility Requirements on Business Intelligence Architectures”, Hawaii International Conference on System Sciences, IEEE, pp. 4189-4198, 2012.

[22] Robert Krawatzeck, Barbara Dinter, Duc Anh Pham Thi, “How to Make Business Intelligence Agile: The Agile BI Actions Catalog”, IEEE, pp.4762 – 4771, 2015.

[23] Abdul Azim Abdul, Ghani Koh Tieng, Wei Geoffrey, Muchiri Muketha, Wong Pei Wen, “Complexity Metrics for Measuring the Understandability and Maintainability of Business Process Models using Goal-Question-Metric”, IJCSNS International Journal of Computer Science and Network Security, Vol.8 No.5, pp. 219-225, 2008.

[24] Baars, Henning, Zimmer, Michael. “A Classification for Business Intelligence Agility Indicators”, Proceedings of the 21st European Conference on Information Systems, pp.1-12, 2013.

[25] Carlos Villar Corrales, Daniel Amyot, Dominique Ferrand, “A Goal-Driven Methodology for Developing Health Care Quality Metrics”, PHD of Science in Electronic Business Technologies, University of Ottawa, 2011.

[26] Mihaela Muntean, Traian Surcel, “Agile BI – The Future of BI”, Informatica Economică, Vol. 17, No. 3, pp. 114-124, 2013.

[27] Robert E. Park, Wolfhart B. Goethert, William A. Florac, “Goal-Driven Software Measurement —A Guidebook”, Carnegie Mellon University, 1996.

[28] Asim Abdel Rahman El Sheikh, Mouhib Alnoukari, “Business Intelligence and Agile Methodologies for Knowledge-Based Organizations: Cross-Disciplinary Applications”, IGI Global, 2012.

[29] Vmware, “Business Agility and the True Economics of Cloud Computing”, 2011.

[30] AMD, “Realizing Agile Business Execution with Virtualization”, 2008.

[31] CDW, “Taking I.T. Agile with Server Virtualization”, 2012.

[32] Andrew Mazer, “Private Clouds: Efficiency and Agility in the Next Generation Data Center”, Dell.

[33] IDG TechNetwork, “Smarter Business Requires Intelligent Systems”, windows Embedded.

[34] Redhat, “The Agility Gap in Today’s Private Clouds”, 2013.

[35] IBM, “Business analytics: The perfect fit for the agile enterprise”, 2009.

[36] Wayne W. Eckerson, "Performance Dashboards Measuring, Monitoring, and Managing Your Business", John Wiley & Sons, second edition, 2011.

[37] QAD Enterprise, “BI Metrics Demonstration Guide", technical report, 2015.

[38] QAD Enterprise, "Operational Metrics Data Sheet", 2015.

[39] KPI-Partners Oracle Partner, "The Top Five Metrics Business Intelligence for HR Departments", http://www.kpipartners.com.

[40] Tech Excel, “IT manager Guide- performance efficiency: technical report, http://www.techexcel.com.

[41] Michael Harris, David Consulting Group, "Measuring the Business Value of IT", 2007.

[42] Victor R. Basili, Gianluigi Caldiera, Dieter Rombach, "Goal Question Metric Paradigm", Encyclopedia of software Engineering- 2Volume Set, John Willy & sons, 1994.

[43] Peter Hantos, “Strengths and Weaknesses OF The GQM Approach in developing Software Size Metrics", Xerox Corporation, 1998.

[44] Christiane Differding, Barbara Hoisl and Christopher M. Lott, "Technology Package for the Goal Question Metric Paradigm", Internal Report, 1996.

[45] V. Basili et al., "Aligning Organizations through Measurement", the Fraunhofer IESE Series on Software and Systems Engineering, Springer International Publishing Switzerland, 2014.

[46] Hong Yang, Rong Chen and Ya-qing Liu, "A Metrics Method for Software Architecture Adaptability", Journal of Software, Vol. 5, No. 10, October 2010.

[47] Robert T. Futrell, Donald F. Shafer and Linda I. Safer, "The Basili Goal/Question/Metric Paradigm", Prentice Hall, 2002.

[48] Dirk Hamann, Dietmar Pfahl, Janne Järvinen, and Rini van Solingen, “The Role of GQM in the PROFES Improvement Methodology", 1999.

[49] Anna Wingkvist, Morgan Ericssony, Rudiger Lincke and Welf Lowe, "A Metrics-Based Approach to Technical Documentation Quality", 2010.

[50] Len Di Costanzo, "Why Service Level Management is Mission Critical for all IT Service Providers ", Auto task White Paper, Auto task Corporation, 2010.

[51] Adrian Paschke, Elisabeth Schnappinger-Gerull, "A Categorization Scheme for SLA Metrics ", TechnischeUniversitätMünchen, Germany, 2005.

[52] Mo Masud, Lisa Wester, "Tools for Performance Metrics and Business Intelligence", Deloitte Development, 2007.

[53] Prashant Pant, "How to build successful BI strategy", Deloitte Development, 2008.

[54] Orical Agile, "Oracle Product Lifecycle Analytics", Oracle Data Sheet, 2011.

[55] AP Business Objects, "Business Intelligence Platform Administrator Guide ", SAP affiliate company, 2015.

[56] Zendesk, "Creating Service Desk Metrics", Information Technology Infrastructure Library, ITIL.

[57] Boris Evelson, “Agile Business Intelligence Platforms The 13 Providers That Matter Most and How They Stack Up”, the Forrester Wave, 2015.

[58] Micro Strategy Incorporated, "Business Intelligence and Retail: Major Applications of Business Intelligence Software in the Retail Industry ", 2007.

[59] Gartner,"Gartner's Business Analytics Framework ", 2011.

[60] IBM, "Seven risk dashboards every bank needs", White Paper, March 2009.

[61] Gartner, “Step by Step approach to successful business intelligence”, IBM, 2011.

[62] Vince Leat, ASEAN SW Group, “Introduction to Business Intelligence”, IBM, 2007.

[63] Mykola Pechenizkiy, “Introduction to Business Intelligence”, http://www.cs.jyu.fi/~mpechen/TIES443, 2006.

[64] Yellow Fin, “Making Business Intelligence Easy- Agile business intelligence”, 2010.

[65] Yellow Fin, “Making Business Intelligence Easy- in memory analytics”, 2010.

[66] Tsun Chow, Dac-Buu Cao, “A survey study of critical success factors in agile software projects”, Journal of Systems and Software, vol. 81, pp. 961- 971, 2008.

[67] J. Fernández, E. Mayol, J.A. Pastor, “Agile Approach to Business Intelligence as a Way to Success”, IGI Global, 2012.

[68] Faycal Fedouaki, Chafik Okar, Semma El Alami, "A maturity model for Business Intelligence System project in Small and Medium-sized Enterprises: an empirical investigation", International Journal of Computer Science Issues, Vol. 10, Issue 6, No 1, November 2013.

[69] Markus Strohmaier, Herwig Rollett, “Future Research Challenges in Business Agility: Time, Control and Information Systems", 2004.

Downloads

Published

2023-12-15

Issue

Section

Articles

How to Cite

Samya Hadi Najar, & Mostafa Obaid Gawad. (2023). Proposed Metrics for Agile Business Intelligence. International Journal of Computers and Informatics, 2(8). https://doi.org/10.59992/IJCI.2023.v2n8p2