Skip to main content
SpringerLink
Log in

Lessons Learned from Experimental Prototype Development for KPI Acquisition and Modeling from Legacy ERP Systems

  • Conference paper
  • First Online:
Enterprise and Organizational Modeling and Simulation (EOMAS 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 231))

Included in the following conference series:

  • 682 Accesses

Abstract

In this paper we consider a business case of an Enterprise Resource Planning (ERP) system vendor who needs to introduce qualitative features without making great investments in the legacy source code. We propose to extend legacy ERP system’s functionality by applying the Leading System paradigm so that business process management can be introduced. This enables business process awareness and provides opportunity for qualitative feature set introduction in a legacy ERP system. As a result, Key Performance Indicator (KPI) acquisition, modeling and analysis from the process aware legacy ERP system becomes possible. The main focus in this paper is on lessons learned about a suitable prototype architecture for KPI acquisition, modeling and analysis, and about best practices for KPI analysis from log data of business process execution.

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

Access this chapter

Log in via an institution
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 EPUB and 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

Notes

  1. 1.

    http://camunda.org. The particular selection is not in the scope of this paper, however it should be noted that there was done evaluation among multiple process engines.

References

  1. Sneed, H.M.: An incremental approach to system replacement and integration. In: Proceedings of 15th European Conference on Software Maintenance and Reengineering, pp. 196–206 (2005). doi:10.1109/CSMR.2005.9

  2. Alksnis, G., Asņina, Ē., Kirikova, M., Meiers, E.: Enabling Support of Collaborative Cross-enterprise Business Processes for Legacy ERP Systems. In: Journal of Complex Systems Informatics and Modeling Quarterly (CSIMQ). RTU Press online, pp. 1–18 (2015). doi:10.7250/csimq.2015-2.01

  3. Key Performance indicators (KPI): How an organization defines and measures progress toward its goals (by F. John Reh). http://management.about.com/cs/generalmanagement/a/keyperfindic.htm

  4. Key Performance Indicators – KPI. http://www.investopedia.com/terms/k/kpi.asp

  5. KPI Examples. http://www.pnmsoft.com/resources/bpm-tutorial/key-performance-indicators

  6. Livieri, B., Di Cagno, P., Bochicchio, M.: A bibliometric analysis and review on performance modeling literature. In: Journal of Complex Systems Informatics and Modeling Quarterly (CSIMQ). RTU Press online, pp. 56–71 (2015). doi:10.7250/csimq.2015-2.05

  7. Hope, J., Fraser, R.: Beyond Budgeting: How Managers Can Break Free from the Annual Performance Trap. Harvard Business School Press, Boston (2003)

    Google Scholar 

  8. Kaplan, R.S., Norton, D.P.: The Balanced Scorecard: translating strategy into action. Harvard Business School Press, Boston (1996)

    Google Scholar 

  9. The New Thinking on KPIs – part 3 of 4. http://www.strategydriven.com/2010/06/04/the-new-thinking-on-kpis-part-3-of-4

  10. Parmenter, D.: Key Performance Indicators: Developing, implementing, and Using Winning KPIs. Wiley, Hoboken (2007)

    Google Scholar 

  11. Roubtsova, E., Michell, V.: A method for modeling of KPIs enabling validation of their properties. In: Proceedings of the 5th ACM SIGCHI Annual International Workshop on Behaviour Modelling - Foundations and Applications (BMFA 2013), Article 3, 10 pp. ACM, New York (2013)

    Google Scholar 

  12. MicroStrategy. http://www.microstrategy.com/

  13. ARIS Process Performance Manager. http://www.softwareag.com/

  14. Moraschi, D.: Business Intelligence with MicroStrategy Cookbook. Packt Publishing, Birmingham (2013)

    Google Scholar 

  15. Grade-BP. http://www.gradetools.com/

  16. IBM WebSphere Business Modeler Advanced. http://www-03.ibm.com/software/products/en/modeler-advanced

  17. Parmenter, D.: Key Performance Indicators: Developing, Implementing, and Using Winning KPIs, 2nd edn. Wiley, Hoboken (2010)

    Google Scholar 

  18. Keyes, J.: Knowledge Management, Business Intelligence, and Content Management: The IT Practitioner’s Guide. Auerbach Publications, Boca Raton (2006)

    Google Scholar 

  19. Jeston, J., Nelis, J.: Business Process Management: Practical Guidelines to Successful Implementations. Elsevier, Oxford (2006)

    Google Scholar 

  20. KPI Institute Homepage. http://kpiinstitute.org/

  21. KPI Library Homepage. http://kpilibrary.com/

  22. APQCs Process Classification Framework. http://www.apqc.org/pcf

  23. Klipfolio KPI Examples. http://www.klipfolio.com/resources/kpi-examples

  24. Tereso, M., Bernardino, J.: Open source business intelligence tools for SMEs. In: 6th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–4. IEEE (2011)

    Google Scholar 

  25. Compare Business Intelligence (BI) Software Tools. http://www.softwareadvice.com/bi/

  26. Dresner Advisory Services: Small and Mid-sized Enterprise Business Intelligence Market Study (Licenced for Klipfolio (2014). http://www.klipfolio.com/downloads/dresner-sme-2014

  27. Connect data in another workbook to your workbook. https://support.office.com/en-au/article/Connect-data-in-another-workbook-to-your-workbook-3a557ddb-70f3-400b-b48c-0c86ce62b4f5

  28. KPI Dashboard Creation in Excel (by Brigitta Schwulst) (2014). https://blog.udemy.com/kpi-dashboard/

Download references

Author information

Authors and Affiliations

  1. Institute of Applied Computer Systems, Riga Technical University, Meza iela 1 k-4, Riga, 1048, Latvia

    Gundars Alksnis, Erika Asnina, Anita Finke & Marite Kirikova

Authors
  1. Gundars Alksnis
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Erika Asnina
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anita Finke
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marite Kirikova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Gundars Alksnis .

Editor information

Editors and Affiliations

  1. Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    Joseph Barjis

  2. Czech Technical University in Prague, Prague, Czech Republic

    Robert Pergl

  3. Higher School of Economics, National Research University, Nizhny Novgorod, Russia

    Eduard Babkin

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Alksnis, G., Asnina, E., Finke, A., Kirikova, M. (2015). Lessons Learned from Experimental Prototype Development for KPI Acquisition and Modeling from Legacy ERP Systems. In: Barjis, J., Pergl, R., Babkin, E. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2015. Lecture Notes in Business Information Processing, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-319-24626-0_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24626-0_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24625-3

  • Online ISBN: 978-3-319-24626-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation