Abstract
Business intelligence (BI) systems gather, store, and process data to turn it into information that ismeaningful and relevant for decision-making in businesses and organizations. Successful engineering, use, and evolution of BI systems require a deep understanding of the requirements of decision-making processes in organizations, of the kinds of information used and produced in these processes, of the ways in which information can be obtained through acquisition and reasoning on data, of the transformations and analyses of that information, of how the necessary data can be acquired, stored, cleaned, how its quality can be improved, and of how heterogeneous data can be used together.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jureta, I.J., Faulkner, S., Zimányi, E. (2011). Preface to MORE-BI 2011. In: De Troyer, O., Bauzer Medeiros, C., Billen, R., Hallot, P., Simitsis, A., Van Mingroot, H. (eds) Advances in Conceptual Modeling. Recent Developments and New Directions. ER 2011. Lecture Notes in Computer Science, vol 6999. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24574-9_7
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DOI: https://doi.org/10.1007/978-3-642-24574-9_7
Publisher Name: Springer, Berlin, Heidelberg
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