Skip to main content

A Business Process-IT Alignment Method for Business Intelligence

  • Conference paper
Enterprise, Business-Process and Information Systems Modeling (BPMDS 2009, EMMSAD 2009)

Abstract

Business intelligence (BI) is becoming a key means of providing information necessary for achieving business goals such as improving profits or solving business process issues. This paper proposes a business process-IT alignment method for BI. The proposed method has two phases of business processes: the first phase extracts and checks the validity of hypotheses for achieving business goals and the second phase clarifies the actions needed to implement the hypotheses. Then, business information used in each business process is defined. Four levels of BI systems are proposed in accordance with the maturity of the enterprises they support, and each level is mapped to a subset of the business processes. Finally, three types of models used to clarify and organize the hypotheses and the actions are proposed. Case studies have shown that the method explains a variety of business processes for BI and BI systems.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Recommendations. Amazon.com, http://www.amazon.com/gp/help/customer/display.html?nodeId=13316081

  2. Berry, M.J.A., Linoff, G.S.: Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management, 2nd edn. Wiley, Chichester (2004)

    Google Scholar 

  3. Golfarelli, M., Rizzi, S., Cella, I.: Beyond data warehousing: what’s next in business intelligence? In: 7th International Workshop on Data Warehousing and OLAP (DOLAP 2004), Washington, DC (2004)

    Google Scholar 

  4. Kaplan, R.S.: Integrating Shareholder Value and Activity Based Costing with the Balanced Scorecard. Balanced Scorecard Report 3(1) (2001)

    Google Scholar 

  5. Kaplan, R.S., Norton, D.P.: The Balanced Scorecard Translating Strategy into Action. Harvard Business School Press (1996)

    Google Scholar 

  6. Kaplan, R.S., Norton, D.P.: Having trouble with your strategy? Then map it. Harvard Business Review 78(5), 167–176 (2000)

    Google Scholar 

  7. Kaplan, R.S., Norton, D.P.: The Strategy-Focused Organization: How Balanced Scorecard Companies Thrive in the New Business Environment. Harvard Business School Press (2001)

    Google Scholar 

  8. Kaplan, R.S., Norton, D.P.: Strategy Maps: Converting Intangible Assets into Tangible Outcomes. Harvard Business School Press (2004)

    Google Scholar 

  9. Kokune, A., Mizuno, M., Kadoya, K., Yamamoto, S.: FBCM: Strategy Modeling Method for the Validation of Software Requirements. Journal of Systems and Software 80(3), 314–327 (2007)

    Article  Google Scholar 

  10. Norton, D.P.: The Unbalanced Scorecard. Balanced Scorecard Report 2(2)(2000)

    Google Scholar 

  11. Norton, D.P.: Building Strategy Maps: Testing the Hypothesis. Balanced Scorecard Report 3(1) (2001)

    Google Scholar 

  12. Norton, D.P.: The First Balanced Scorecard. Balanced Scorecard Report 4(2) (2002)

    Google Scholar 

  13. Suenaga, T., Takahashi, S., Saji, M., Yano, J., Nakagawa, K., Sekine, J.: A Framework for Business Data Analysis. In: Workshop on Business Intelligence Methodologies and Applications (BIMA 2008), pp. 703–708 (2008)

    Google Scholar 

  14. Davenport, T.H., Harris, J.G.: Competing on Analytics: The New Science of Winning. Harvard Business School Press (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sekine, J., Suenaga, T., Yano, J., Nakagawa, Ki., Yamamoto, Si. (2009). A Business Process-IT Alignment Method for Business Intelligence. In: Halpin, T., et al. Enterprise, Business-Process and Information Systems Modeling. BPMDS EMMSAD 2009 2009. Lecture Notes in Business Information Processing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01862-6_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-01862-6_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01861-9

  • Online ISBN: 978-3-642-01862-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics