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Model-Based Management of Strategic Initiatives

  • Original Article
  • Published:
Journal on Data Semantics

Abstract

In order to adapt to a continuously changing environment, organizations are evolving their business objectives, processes, and operations through various strategic initiatives. In this context, it is imperative for organizations to continuously monitor their performance and adjust when there is a need or an opportunity to do so. The cluster of technologies that delivers this monitoring capability is called business intelligence (BI), and over the years it has come to play a central role in business operations and governance. Unfortunately, there is a huge cognitive gap between a requirements view of a strategic initiative articulated in terms of business goals, processes, and performance on one hand, and an implementation view of BI monitoring articulated in terms of databases, networks, and computational processing. In this paper, we present a model-based performance management framework for managing strategic initiatives across their complete lifecycle of analysis, modeling, implementation, and evaluation to bridge this cognitive gap. We demonstrate its usefulness through a case study at a major teaching hospital, which is implementing a strategic initiative to reduce antibiotic-resistant infections.

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Acknowledgments

This work has been supported by the business intelligence network (BIN), the Canadian Institutes of Health Research, and the Natural Sciences and Engineering Research Council of Canada. We are grateful to Eric Yu, Iluju Kiringa, Lei Jiang, Gary Garber, Alan J. Forster, and many other colleagues for useful discussions and suggestions that helped shape this work.

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Authors and Affiliations

  1. Rouge Valley Health System, 2867 Ellesmere Road, Toronto, ON , M1E 4B9, Canada

    Daniele Barone

  2. School of Electrical Engineering and Computer Science, University of Ottawa, 800 King Edward, Ottawa, ON , K1N 6N5, Canada

    Liam Peyton & Daniel Amyot

  3. Statistics Canada, 170 Tunney’s Pasture Driveway, Ottawa, ON , K1A 0T6, Canada

    Flavio Rizzolo

  4. Department of Information Engineering and Computer Science, University of Trento, Via Sommarive, 5, 38123 , Povo, Italy

    John Mylopoulos

  5. Electrical Engineering and Computer Science Department, Northern Arizona University, 2112 S. Huffer Lane, Flagstaff, AZ, USA

    Omar Badreddin

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  1. Daniele Barone
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  2. Liam Peyton
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Correspondence to Omar Badreddin.

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Barone, D., Peyton, L., Rizzolo, F. et al. Model-Based Management of Strategic Initiatives. J Data Semant 4, 149–165 (2015). https://doi.org/10.1007/s13740-014-0042-8

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