Abstract
Business Intelligence (BI) software aims to enable business users to easily access and analyze relevant enterprise information so that they can make timely and fact-based decisions. However, despite user-friendly features such as dashboards and other visualizations, business users still find BI software hard to use and inflexible for their needs. Furthermore, current BI initiatives require significant efforts by IT specialists to understand business operations and requirements, in order to build BI applications and help formulate queries. In this paper, we present a vision for BI that is driven by enterprise modeling. The Business Intelligence Model (BIM) aims to enable business users to conceptualize business operations and strategies and performance indicators in a way that can be connected to enterprise data through highly automated tools. The BIM draws upon well-established business practices such as Balanced Scorecard and Strategy Maps as well as requirements and conceptual modeling techniques such as goal modeling. The connection from BIM to databases is supported by a complementary research effort on conceptual data integration.
Chapter PDF
Similar content being viewed by others
Keywords
References
Davenport, T.H., Harris, J.G.: Competing on Analytics: The New Science of Winning. Harvard Business School Press, Boston (2007)
Barone, D., Mylopoulos, J., Jiang, L., Amyot, D.: Business Intelligence Model, version 1.0. Technical Report CSRG-607, ftp://ftp.cs.toronto.edu/csri-technical-reports/INDEX.html University of Toronto (March 2010)
Saxena, P.K.: Principles of Management: A Modern Approach. Global India Publications Pvt Ltd (2009)
Kaplan, R.S., Norton, D.P.: Balanced Scorecard: Translating Strategy into Action. Harvard Business School Press, Boston (1996)
Kaplan, R.S., Norton, D.P.: Strategy maps: Converting intangible assets into tangible outcomes. Harvard Business School Press, Boston (2004)
Dardenne, A., van Lamsweerde, A., Fickas, S.: Goal-directed requirements acquisition. Sci. Comput. Program 20(1-2), 3–50 (1993)
Yu, E.: Towards modelling and reasoning support for early-phase requirements engineering. In: Proc. 3rd IEEE Int. Symp. on Requirements Engineering, Washington, USA (1997)
International Telecommunication Union: Recommendation Z.151 (11/08): User Requirements Notation (URN) – Language definition, http://www.itu.int/rec/T-REC-Z.151/en
Howard, R., Matheson, J.: Influence diagrams. Readings on the Principles and Applications of Decision Analysis II (1984)
Dealtry, T.R.: Dynamic SWOT Analysis. Dynamic SWOT Associates (1994)
Business Rules Group: The Business Motivation Model: Business Governance in a Volatile World (2007), http://www.businessrulesgroup.org/bmm.shtml Ver. 1.3.
Gangemi, A., Guarino, N., Masolo, C., Oltramari, A., Schneider, L.: Sweetening ontologies with DOLCE. In: Gómez-Pérez, A., Benjamins, V.R. (eds.) EKAW 2002. LNCS (LNAI), vol. 2473, pp. 223–233. Springer, Heidelberg (2002)
Rizzolo, F., Kiringa, I., Pottinger, R., Wong, K.: The conceptual integration modeling framework: Abstracting from the multidimensional model. Technical report, SITE, University of Ottawa (2010)
Quinn, K.: How Business Intelligence should work. Information Builders White Papers (2009)
Giorgini, P., Mylopoulos, J., Sebastiani, R.: Goal-oriented requirements analysis and reasoning in the Tropos methodology. Eng. App. Artif. Intel. 18, 159–171 (2005)
BusinessWeek: Toyota drops in auto-quality survey; Ford makes top 5 (update1) (June 2010), http://www.businessweek.com/
List, B., Korherr, B.: An evaluation of conceptual business process modelling languages. In: Biham, E., Youssef, A.M. (eds.) SAC 2006. LNCS, vol. 4356, pp. 1532–1539. Springer, Heidelberg (2007)
Business Process Management Initiative: Business process management notation. Specification Version 2.0 (June 2010), http://www.bpmn.org/
Stirna, J., Persson, A.: Ten Years Plus with EKD: Reflections from Using an Enterprise Modeling Method in Practice. In: Proceedings of the Workshop on EMMSAD 2007, held in conjunction with the 19th CAiSE 2007 (2007)
Mylopoulos, J.: Information modeling in the time of the revolution. Inf. Syst. 23(3-4), 127–155 (1998)
Zachman, J.A.: A framework for information system architecture. IBM Systems Journal 26(3), 277–293 (1987)
Yu, E., Strohmaier, M., Deng, X.: Exploring intentional modeling and analysis for enterprise architecture. In: Proceedings of the EDOC Workshop on Trends in Enterprise Architecture Research (October 2006)
Office of Management and Budget: FEA Practice Guide. (November 2007), http://www.whitehouse.gov/omb/asset.aspx?AssetId=471
Mazón, J.N., Trujillo, J.: A hybrid model driven development framework for the multidimensional modeling of data warehouses. SIGMOD Record 38(2) (2009)
Bleistein, S.J., Cox, K., Verner, J.M., Phalp, K.: B-SCP: A requirements analysis framework for validating strategic alignment of organizational IT based on strategy, context, and process. Information & Software Technology 48(9), 846–868 (2006)
Andersson, B., Johannesson, P., Zdravkovic, J.: Aligning goals and services through goal and business modelling. Inf. Syst. E-Business Management 7(2) (2009)
Pourshahid, A., Amyot, D., Peyton, L., Ghanavati, S., Chen, P., Weiss, M., Forster, A.J.: Business process management with the User Requirements Notation. Electronic Commerce Research 9(4), 269–316 (2009)
Babar, A., Zowghi, D., Chew, E.: Using goals to model strategy map for business IT alignment. In: Proceedings of the Workshop on BUSITAL 2010, held in conjunctiun with the 22th CAiSE (2010)
Barone, D., Stella, F., Batini, C.: Dependency discovery in data quality. In: Pernici, B. (ed.) Advanced Information Systems Engineering. LNCS, vol. 6051, pp. 53–67. Springer, Heidelberg (2010)
Koller, D., Friedman, N.: Probabilistic Graphical Models: Principles and Techniques. MIT Press, Cambridge (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 IFIP International Federation for Information Processing
About this paper
Cite this paper
Barone, D., Yu, E., Won, J., Jiang, L., Mylopoulos, J. (2010). Enterprise Modeling for Business Intelligence. In: van Bommel, P., Hoppenbrouwers, S., Overbeek, S., Proper, E., Barjis, J. (eds) The Practice of Enterprise Modeling. PoEM 2010. Lecture Notes in Business Information Processing, vol 68. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16782-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-16782-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16781-2
Online ISBN: 978-3-642-16782-9
eBook Packages: Computer ScienceComputer Science (R0)