Skip to main content
Springer Nature Link
Log in

Business Process Intelligence Tools

  • Chapter
  • First Online:
Advances in Intelligent Process-Aware Information Systems

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 123))

Abstract

This chapter analyzes contemporary software tools enabling Business Process Intelligence (BPI). BPI is one of the emerging trends in enterprise computing, which allows companies and organizations to maximize the value derived from their business processes. Moreover, BPI constitutes an umbrella term that summarizes different software tools, methods and best practices for real-time process analytics. The chapter presents an analysis of the features as well as the strengths and weaknesses of contemporary BPI tools along two characteristic application strategies of modern enterprises.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Anandarajan, M., Anandarajan, A., Srinivasan, C.A.: Business intelligence techniques: a perspective from accounting and finance. Springer Science & Business Media (2012)

    Google Scholar 

  2. Celonis GmbH: Celonis Process Mining. http://www.celonis.de/. Accessed 03 Mar 2015

  3. Fluxicon: Process Mining and Process Analysis—Fluxicon. http://fluxicon.com/disco/. Accessed 03 Mar 2015

  4. Grossmann, W., Rinderle-Ma, S.: Fundamentals of Business Intelligence. Springer (2015)

    Google Scholar 

  5. Hipp, M., Michelberger, B., Mutschler, B., Reichert, M.: Navigating in process model repositories and enterprise process information. In: IEEE 8th International Conference on Research Challenges in Information Science (RCIS 2014), pp. 1–12. IEEE Computer Society Press (2014)

    Google Scholar 

  6. Lanz, A., Weber, B., Reichert, M.: Time patterns for process-aware information systems. Requirements Eng. 19(2), 113–141 (2014)

    Article  Google Scholar 

  7. Li, C., Reichert, M., Wombacher, A.: The MinAdept clustering approach for discovering reference process models out of process variants. Int. J. Cooper. Inf. Syst. 19(3 & 4), 159–203 (2010)

    Article  Google Scholar 

  8. Ly, L.T., Rinderle, S., Dadam, P., Reichert, M.: Mining staff assignment rules from event-based data. In: Proceedings of Workshop on Business Process Intelligence (BPI) in conjunction with (BPM’05), pp. 177–190. No. 3812 in LNCS. Springer (2005)

    Google Scholar 

  9. Michelberger, B., Mutschler, B., Reichert, M.: Towards process-oriented information logistics: why quality dimensions of process information matter. In: Proceedings of 4th International Workshop on Enterprise Modelling and Information Systems Architectures (EMISA 2011), pp. 107–120. No. 190 in Lecture Notes in Informatics (LNI). Koellen-Verlag (2011)

    Google Scholar 

  10. Microsoft AG: Business Intelligence in Office and SQL Server—Microsoft. www.microsoft.com/en-us/server-cloud/solutions/business-intelligence/. Accessed 03 Mar 2015

  11. Mutschler, B., Reichert, M., Bumiller, J.: Unleashing the effectiveness of process-oriented information systems: problem analysis, critical success factors, and implications. IEEE Trans. Syst. Man Cybernet. Part C: Appl. Rev. 38(3), 280–291 (2008)

    Article  Google Scholar 

  12. Mutschler, B., Weber, B., Reichert, M.: Workflow management versus case handling: results from a controlled software experiment. In: 23rd Annual ACM Symposium on Applied Computing (SAC’08), Special Track on Coordination Models, Languages and Architectures, pp. 82–89. ACM Press (2008)

    Google Scholar 

  13. QlikTech: Analytics, Data Discovery, Data Visualization, QlikView BI Dashbaord|Qlik. http://www.qlik.com/en/explore/products/qlikview. Accessed 03 MAr 2015

  14. Reichert, M., Weber, B.: Enabling Flexibility in Process-Aware Information Systems: Challenges, Methods, Technologies. Springer, Berlin (2012)

    Book  MATH  Google Scholar 

  15. Saaty, T.L., Vargas, L.G.: Models, Methods, Concepts and Applications of the Analytic Hierarchy Process, vol. 175. Springer Science & Business Media (2012)

    Google Scholar 

  16. Software AG: ARIS MashZone—Business Mashups. http://www.mashzone.com/. Accessed 03 Mar 2015

  17. Software AG: Software AG Process Performance Manager. http://www.softwareag.com/corporate/products/apama_webmethods/intelligence/products/process_performance/overview/default.asp. Accessed 03 Mar 2015

  18. Tennant, G.: Six Sigma: SPC and TQM in Manufacturing and Services. Gower Publishing Ltd., Aldershot (2001)

    Google Scholar 

  19. TIBCO Software Inc.: TIBCO Spotfire—Business Intelligence Analytics Software & Data Visualization. http://spotfire.tibco.com/. Accessed 03 Mar 2015

  20. Van Der Aalst, W.: Process Mining: Discovery, Conformance and Enhancement of Business Processes. Springer Science & Business Media (2011)

    Google Scholar 

  21. Van Der Aalst, W., Adriansyah, A., de Medeiros, A.K.A., Arcieri, F., Baier, T., Blickle, T., Bose, J.C., van den Brand, P., Brandtjen, R., Buijs, J., et al.: Process mining manifesto. In: Business Process Management Workshops, pp. 169–194. Springer (2012)

    Google Scholar 

  22. Weber, B., Mutschler, B., Reichert, M.: Investigating the effort of using business process management technology: results from a controlled experiment. Sci. Comput. Program. 75(5), 292–310 (2010)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Databases and Information Systems, Ulm University, Ulm, Germany

    Johannes Schobel & Manfred Reichert

Authors
  1. Johannes Schobel
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Manfred Reichert
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Johannes Schobel .

Editor information

Editors and Affiliations

  1. Institute of Databases and Information Systems, University of Ulm, Ulm, Germany

    Gregor Grambow

  2. Faculty of Electronics and Computer Science, Aalen University, Aalen, Germany

    Roy Oberhauser

  3. Institute of Databases and Information Systems, University of Ulm, Ulm, Germany

    Manfred Reichert

A Assessment Attributes

A Assessment Attributes

See Table 9.11.

Table 9.11 Complete list of all assessment attributes
Full size table

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this chapter

Cite this chapter

Schobel, J., Reichert, M. (2017). Business Process Intelligence Tools. In: Grambow, G., Oberhauser, R., Reichert, M. (eds) Advances in Intelligent Process-Aware Information Systems. Intelligent Systems Reference Library, vol 123. Springer, Cham. https://doi.org/10.1007/978-3-319-52181-7_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-52181-7_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52179-4

  • Online ISBN: 978-3-319-52181-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics