Skip to main content
SpringerLink
Log in

Quality of Material Master Data and Its Effect on the Usefulness of Distributed ERP Systems

  • Conference paper
Advances in Conceptual Modeling - Theory and Practice (ER 2006)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 4231))

Included in the following conference series:

Abstract

Master data is a main component of most information systems. In distributed and heterogeneous organizations, problems of data quality may arise if several Enterprise Resource Planning (ERP) systems, customized with respect to local business needs and objectives, use subsets of common master data. In this paper we describe data management issues in a large organization, running 10 instances of the SAP R/3 system. For coordinating purposes, com mon elements of materials master data are entered via a centralized application and subsequently distributed to the affected instances. However, this master data management approach did not avoid massive data quality problems, which are, for instance, hampering the computation of informative key performance values and the effective realization of inventory reduction programs. The paper discusses possible approaches for improving data quality in this situation and in other cases of distributed ERP systems.

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 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. Angeli, A., Streit, U., Gonfalonieri, R.: The SAP R/3 Guide to EDI and Interfaces, 2nd edn. Vieweg, Braunschweig/Wiesbaden (2001)

    Google Scholar 

  2. Ballou, D.P., Pazer, H.L.: Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems. Management Science 31(2), 150–162 (1985)

    Article  Google Scholar 

  3. Brackett, M.H.: Data Resource Quality. In: Turning Bad Habits into Good Practices. Addison-Wesley, Boston (2000)

    Google Scholar 

  4. Brodie, M.L.: Data Quality in Information Systems. Information and Management 3(6), 245–258 (1980)

    Article  Google Scholar 

  5. Broeckelmann, R.G.: Inventory Classification Innovation. St. Lucie Press/APICS, Boca Raton/Falls Church (1999)

    Google Scholar 

  6. CFO Research Services/Deloitte Consulting: IQ Matters: Senior Finance and IT Executives Seek to Boost Information Quality. CFO Publishing, Boston (2005), http://www.deloitte.com/dtt/cda/doc/content/Final%20Deliverable_IQ%20Matters.pdf

  7. Davenport, T.H.: Putting the Enterprise into the Enterprise System. Harvard Business Review 76(4), 21–131 (1998)

    Google Scholar 

  8. Druker, D., Rich, R.: Master Data Management. DB2 Magazine 10(3), 33–36 (2005)

    Google Scholar 

  9. English, L.P.: Improving Data Warehouse and Business Information Quality. Wiley, New York (1999)

    Google Scholar 

  10. Galway, L.A., Hanks, C.H.: Data Quality Problems in Army Logistics: Classification, Examples, and Solutions. RAND, Santa Monica (1996)

    Google Scholar 

  11. Gattiker, T.F., Goodhue, D.L.: Understanding the local-level costs and benefits of ERP through organizational information processing theory. Information & Management 41(4), 431–443 (2004)

    Article  Google Scholar 

  12. Griffin, J.: Overcoming Challenges to Master Data Management Implementation. DM Review Magazine (April 2006), http://www.dmreview.com/portals/portalarticle.cfm?articleId=1051113&topicId=1031394

  13. Hayler, A.: Are You Master of Your Data or Its Slave? DM Direct Newsletter, March 4 (2005), http://www.dmreview.com/article_sub.cfm?articleID=1020858

  14. Khanduja, D.: Master Data Management: Three Approaches to Consolidating Master Data. DM Direct Newsletter (October 14, 2005), http://www.dmreview.com/portals/portalarticle.cfm?articleId=1038907&topicId=1031394

  15. Kirsche, T., Baumann, G., Schanzenberger, A.: Alignment of Product Master Data. In: Cremers, et al. (eds.) INFORMATIK 2005: Informatik LIVE! Proceedings of the 35th Annual Conference of the Gesellschaft für Informatik, Bonn, vol. 2, pp. 449–453 (2005)

    Google Scholar 

  16. Klaus, H., Rosemann, M., Gable, G.G.: What is ERP? Information Systems Frontiers 2(2), 141–162 (2000)

    Google Scholar 

  17. Kremers, M., van Dissel, H.: ERP System Migrations. Comm. ACM 43(4), 53–56 (2000)

    Article  Google Scholar 

  18. Loshin, D.: Enterprise Knowledge Management – The Data Quality Approach. Morgan Kaufmann, San Diego (2001)

    Google Scholar 

  19. McKnight, W.: Justifying and Implementing Master Data Management. DM Review Magazine (April 2006), http://www.dmreview.com/article_sub.cfm?articleID=1051165

  20. Olson, J.E.: Data Quality – The Accuracy Dimension. Elsevier, Amsterdam (2003)

    Google Scholar 

  21. Piasecki, D.J.: Inventory Accuracy: People, Processes, & Technology. OPS Publishing, Kenosha (2003)

    Google Scholar 

  22. Redman, T.C.: Data Quality for the Information Age. Artech House, Norwood (1996)

    Google Scholar 

  23. Röthlin, M.: An Exploratory Study of Data Quality Management Practices in the ERP Software Systems Context. In: Dadam, P., Reichert, M. (eds.) INFORMATIK 2004, Proceedings of the 34th Annual Conference of the Gesellschaft für Informatik, Bonn, vol. 1, pp. 254–258 (2004)

    Google Scholar 

  24. Sherman, R.: Seven misconceptions about data quality. Software World 35(6), 13–14 (2004)

    MathSciNet  Google Scholar 

  25. Walsh, T.: Master Data Management: Cross-System Assessment. DM Review Magazine (January 2004), http://www.dmreview.com/article_sub.cfm?articleID=7911

  26. Wand, Y., Wang, R.Y.: Anchoring data quality dimensions in ontological foundations. Comm. ACM 39(11), 86–95 (1996)

    Article  Google Scholar 

  27. Wittebrock, T.: Master data – Everyone Needs it, but No-one Wants to Maintain it. SAP INFO international, September 15 (2003), http://www.sap.info/goto/en/go/21299/

  28. Xu, H., Nord, J.H., Brown, N., Nord, G.D.: Data quality issues in implementing an ERP. Industrial Management & Data Systems 102(1), 47–58 (2002)

    Article  Google Scholar 

  29. Zornes, A.: Dispelling Master Data Management Myths. DM Direct Special Report, October 20 (2005), http://www.dmreview.com/article_sub.cfm?articleId=1039495

Download references

Author information

Authors and Affiliations

  1. Institute of Information Systems, University of Bern, CH-3012, Bern, Switzerland

    Gerhard F. Knolmayer

  2. Department of Engineering and Information Technology, Bern University of Applied Sciences, CH, 2501, Biel/Bienne, Switzerland

    Michael Röthlin

Authors
  1. Gerhard F. Knolmayer
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Michael Röthlin
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Flinders University, Adelaide, Australia

    John F. Roddick

  2. iSOCO, Spain

    V. Richard Benjamins

  3. CEDRIC-CNAM, France

    Samira Si-said Cherfi

  4. University of Cincinnati, USA

    Roger Chiang

  5. Naval Academy Research Institute, Brest Naval, France

    Christophe Claramunt

  6. Department of Computer Science and Engineering, The University of Texas at Arlington, USA

    Ramez A. Elmasri

  7. Dipartimento di Elettronica, Informatica e Sistemistica, Alma Mater Studiorum – Università di Bologna, Italy

    Fabio Grandi

  8. Drexel University, USA

    Hyoil Han

  9. E-Business and Web Science Research Group, Bundeswehr University Munich, Germany

    Martin Hepp

  10. University of Patras, Argolidos 40-42, 153-44, Gerakas Attikis, Greece

    Miltiadis D. Lytras

  11. University of Manitoba, Canada

    Vojislav B. Mišić

  12. Ghent University, Belgium

    Geert Poels

  13. College of Information Science and Technology, Drexel University, USA

    Il-Yeol Song

  14. Department of Software and Computing Systems, University of Alicante, Spain

    Juan Trujillo

  15. EPFL, Switzerland

    Christelle Vangenot

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Knolmayer, G.F., Röthlin, M. (2006). Quality of Material Master Data and Its Effect on the Usefulness of Distributed ERP Systems. In: Roddick, J.F., et al. Advances in Conceptual Modeling - Theory and Practice. ER 2006. Lecture Notes in Computer Science, vol 4231. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908883_43

Download citation

  • DOI: https://doi.org/10.1007/11908883_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47703-7

  • Online ISBN: 978-3-540-47704-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation