Abstract
Real-time Business Intelligence has emerged as a new technology solution to provide timely data-driven analysis of enterprise wide data and information. Such type of data analysis is needed for both tactical as well as strategic decision making tasks within an enterprise. Unfortunately, there is no clarity about the critical technology components that distinguish a real-time business intelligence system from traditional data warehousing and business intelligence solutions. In this paper, we take an evolutionary approach to obtain a better understanding of the role of real-time business intelligence in the context of enterprise-wide information infrastructures. We then propose a reference architecture for building a real-time business intelligence system. By using this reference architecture we identify the key research and development challenges in the areas of data-stream analysis, complex event processing, and real-time data integration that must be overcome for making real-time business intelligence a reality.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Devlin, B.A., Murphy, P.T.: An Architecture for a Business and Information System. IBM systems Journal (1988)
Gray, J., Chaudhuri, S., Bosworth, A., Layman, A., Reichart, D., Venkatrao, M., Pellow, F., Pirahesh, H.: Data Cube: A Relational Aggregation Operator Generalizing Group-by, Cross-Tab, and Sub Totals. Data Min. Knowl. Discov. 1(1), 29–53 (1997)
Inmon, W.H.: Building the Data Warehouse. John Wiley & Sons, New York (1996)
Kimball, R.: The Data Warehouse Toolkit: Practical Techniques for Building Dimensional Data Warehouses. John Wiley & Sons, New York (1996)
Luhn, H.P.: A Business Intelligence System. IBM Journal of Research and Development (1958)
Polyzotis, N., Skiadopoulos, S., Vassiliadis, P., Simitsis, A., Frantzell, N.: Supporting Streaming Updates in an Active Data Warehouse. In: Proceedings of the 23rd International Conference on Data Engineering: ICDE (2007)
Sarma, A.D., Dong, X., Halevy, A.Y.: Bootstrapping pay-as-you-go data integration systems. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD (2008)
Schneider, D.: Practical Considerations for Real-Time Business Intelligence. In: Bussler, C.J., Castellanos, M., Dayal, U., Navathe, S. (eds.) BIRTE 2006. LNCS, vol. 4365, pp. 1–3. Springer, Heidelberg (2007)
Vassiliadis, P., Simitsis, A.: Near Real-time ETL: Annals of Information Systems: New Trends in Data Warehousing and Data Analysis, vol. 3. Springer, US (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Agrawal, D. (2009). The Reality of Real-Time Business Intelligence. In: Castellanos, M., Dayal, U., Sellis, T. (eds) Business Intelligence for the Real-Time Enterprise. BIRTE 2008. Lecture Notes in Business Information Processing, vol 27. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03422-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-03422-0_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-03421-3
Online ISBN: 978-3-642-03422-0
eBook Packages: Computer ScienceComputer Science (R0)