Skip to main content

Use Cases for Business Metadata – A Viewpoint-Based Approach to Structuring and Prioritizing Business Needs

  • Conference paper
Business Information Systems Workshops (BIS 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 57))

Included in the following conference series:

  • 966 Accesses

Abstract

Business metadata plays a crucial role in increasing the data quality of information systems. Despite its importance, business metadata is primarily discussed from a technical perspective, while its business value is scarcely addressed. Therefore, this article aims at contributing to the further development of existing design approaches by explicitly accounting for the use cases of business metadata. In the course of this article a classification of use cases will be developed, which can be utilized when identifying the respective informational requirements a business metadata system needs to satisfy. A banking case is presented that demonstrates how this conceptual model has successfully been applied in practice.

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. Luftman, J.N., Kempaiah, R., Rigoni, E.H.: Key Issues for IT Executives 2008. MISQ Executive 8, 151–159 (2009)

    Google Scholar 

  2. Sabherwal, R., Jeyaraj, A., Chowa, C.: Information System Success: Individual and Organizational Determinants. Management Science 52, 1849–1864 (2006)

    Article  Google Scholar 

  3. Wixom, B.H., Watson, H.J.: An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly 25, 17–41 (2001)

    Article  Google Scholar 

  4. Wang, R.Y.: A Product Perspective on Total Data Quality Management. Communications of the ACM 41, 58–65 (1998)

    Article  Google Scholar 

  5. Wang, R.Y., Strong, D.M.: Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information Systems 12, 5–34 (1996)

    Google Scholar 

  6. Jarke, M., Lenzerini, M., Vassiliou, Y., Vassiliadis, P.: Fundamentals of Data Warehouses. Springer, Heidelberg (2000)

    Google Scholar 

  7. Foshay, N.: The Influence of End-user Metadata on User Attitudes toward, and Use of, a Data Warehouse. IBM, Somers (2005)

    Google Scholar 

  8. Foshay, N., Mukherjee, A., Taylor, A.: Does Data Warehouse End-User Metadata Add Value? Communications of the ACM 50, 70–77 (2007)

    Article  Google Scholar 

  9. Bucher, T., Wlk, U.: Bereitstellung und Nutzung von Endbenutzungs-Metadaten im Kontext der Informationslogistik - Empirische Erkenntnisse und Gestaltungsempfehlungen. In: DW 2008 - Synergien durch Integration und Informationslogistik, pp. 75–93. Gesellschaft für Informatik, Bonn (2008)

    Google Scholar 

  10. Schulze, K.-D., Besbak, U., Dinter, B., Overmeyer, A., Schulz-Sacharow, C., Stenzel, E.: Business Intelligence-Studie 2009. Steria Mummert Consulting AG, Hamburg (2009)

    Google Scholar 

  11. Shankaranarayanan, G., Even, A.: Managing Metadata in Data Warehouses: Pitfalls and Possibilities. Communications of the Association for Information Systems 14, 247–274 (2004)

    Google Scholar 

  12. Shankaranarayanan, G., Even, A.: The metadata enigma. Communications of the ACM 49, 88–94 (2006)

    Article  Google Scholar 

  13. Chengalur-Smith, I., Ballou, D.P., Pazer, H.L.: The Impact of Data Quality Information on Decision Making. IEEE Transactions on Knowledge and Data Engineering 11, 853–864 (1999)

    Article  Google Scholar 

  14. Even, A., Shankaranarayanan, G., Watts, S.: Enhancing Decision Making with Process Metadata: Theoretical Framework, Research Tool, and Exploratory Examination. In: Proceedings of the 39th Hawaii International Conference on System Sciences, pp. 1–10. IEEE Computer Society, Los Alamitos (2006)

    Google Scholar 

  15. Fisher, C.W., Chengalur-Smith, I., Ballou, D.P.: The Impact of Experience and Time on the Use of Data Quality Information in Decision Making. Information System Research 14, 170–188 (2003)

    Article  Google Scholar 

  16. Shankaranarayanan, G., Watts-Sussman, S.: A Relevant Believable Approach for Data Quality Assessment. In: Proceedings of the MIT International Conference on Information Quality, pp. 178–189 (2003)

    Google Scholar 

  17. Hüner, K.M., Otto, B.: The Effect of Using a Semantic Wiki for Metadata Management: A Controlled Experiment. In: Proceedings of the 42nd Hawaii International Conference on System Sciences, pp. 1–9. IEEE Computer Society, Los Alamitos (2009)

    Google Scholar 

  18. Nevo, D., Wand, Y.: Organizational Memory Information Systems: a Transactive Memory Approach. Decision Support Systems 39, 549–562 (2005)

    Article  Google Scholar 

  19. Marco, D.: Building and Managing the Meta Data Repository. John Wiley & Sons, Inc., New York (2000)

    Google Scholar 

  20. Melchert, F.: Integriertes Metadatenmanagement: Methode zur Konzeption von Metadatenmanagementsystemen für das Data Warehousing. Logos, Berlin (2006)

    Google Scholar 

  21. Tannenbaum, A.: Metadata Solutions: Using Metamodels, Repositories, XML, and Enterprise Portals to Generate Information on Demand. Addison-Wesley, Boston (2002)

    Google Scholar 

  22. Darke, P., Shanks, G.: Stakeholder viewpoints in requirements definition: A framework for understanding viewpoint development approaches. Requirements Engineering 1, 88–105 (1996)

    Article  Google Scholar 

  23. Leité, J.C.S.P., Freeman, P.A.: Requirements Validation Through Viewpoint Resolution. IEEE Transactions on Software Engineering 17, 1253–1269 (1991)

    Article  Google Scholar 

  24. Kotonya, G., Sommerville, I.: Requirements Engineering: Processes and Techniques. John Wiley & Sons Ltd., New York (1998)

    Google Scholar 

  25. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design Science in Information Systems Research. MIS Quarterly 28, 75–105 (2004)

    Google Scholar 

  26. March, S.T., Smith, G.F.: Design and Natural Science Research on Information Technology. Decision Support Systems 15, 251–266 (1995)

    Article  Google Scholar 

  27. Peffers, K., Tuunanen, T., Gengler, C.E., Rossi, M., Hui, W., Virtanen, V., Bragge, J.: The Design Science Research Process: A Model for Producing and Presenting Information Systems Research. In: Proceedings of the First International Conference on Design Science Research in Information Systems and Technology, pp. 83–106 (2006)

    Google Scholar 

  28. vom Brocke, J., Simons, A., Niehaves, B., Riemer, K., Plattfaut, R., Cleven, A.: Reconstructing the Giant: On the Importance of Rigour in Documenting the Literature Search Process. In: Proceedings of the ECIS 2009, pp. 2206–2217 (2009)

    Google Scholar 

  29. Benander, A., Benander, B., Fadlalla, A., James, G.: Data Warehouse Administration and Management. Information Systems Management 17, 71–80 (2000)

    Article  Google Scholar 

  30. Levine, M., Siegel, J.: What the Accountant Must Know About Data Warehousing. The CPA Journal 71, 37–42 (2001)

    Google Scholar 

  31. Niland, J.C., Rouse, L., Stahl, D.C.: An Informatics Blueprint for Healthcare Quality Information Systems. Journal of the American Medical Informatics Association 13, 402–417 (2006)

    Article  Google Scholar 

  32. Pipe, P.: The Data Mart: A New Approach to Data Warehousing. International Review of Law Computers 11, 251–261 (1997)

    Article  Google Scholar 

  33. Vaduva, A., Vetterli, T.: Metadata Management for Data Warehousing: An Overview. International Journal of Cooperative Information Systems 10, 273–298 (2001)

    Article  Google Scholar 

  34. West, L.A., Hess, T.J.: Metadata as a knowledge management tool: supporting intelligent agent and end user access to spatial data. Decision Support Systems 32, 247–264 (2002)

    Article  Google Scholar 

  35. Xie, G., Yang, Y., Liu, S., Qiu, Z., Pan, Y., Zhou, X.: EIAW: Towards a Business-friendly Data Warehouse Using Semantic Web Technologies. In: Aberer, K., Choi, K.-S., Noy, N., Allemang, D., Lee, K.-I., Nixon, L.J.B., Golbeck, J., Mika, P., Maynard, D., Mizoguchi, R., Schreiber, G., Cudré-Mauroux, P. (eds.) ASWC 2007 and ISWC 2007. LNCS, vol. 4825, pp. 857–870. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  36. Dempsey, L., Heery, R.: Metadata: A Current View of Practice and Issues. Journal of Documentation 54, 145–172 (1998)

    Article  Google Scholar 

  37. Müller, R., Stöhr, T., Rahm, E.: An Integrative and Uniform Model for Metadata Management in Data Warehousing Environments. In: Proceedings of the International Workshop on Design and Management of Data Warehouses, pp. 12–28. ACM Press, New York (1999)

    Google Scholar 

  38. O’Neil, B.: http://www.tdan.com/view-articles/4934

  39. Shankaranarayanan, G., Ziad, M., Wang, R.Y.: Managing Data Quality in Dynamic Decision Environments: an Information Product Approach. Journal of Database Management 14, 14–32 (2003)

    Google Scholar 

  40. Ariyachandra, T.R., Watson, H.J.: Data Warehouse Architectures: Factors in the Selection Decision and the Success of the Architectures (2005)

    Google Scholar 

  41. Inmon, W.H., Strauss, D., Neushloss, G.: DW 2.0: The Architecture for the Next Generation of Data Warehousing. Elsevier Science, Amsterdam (2008)

    Google Scholar 

  42. Kimball, R., Ross, M.: The Data Warehouse Toolkit. John Wiley & Sons, Inc., New York (2002)

    Google Scholar 

  43. Horváth, P.: Controlling. Franz Vahlen, München (2006)

    Google Scholar 

  44. Laudon, K.C., Laudon, J.P.: Management Information Systems - Managing the Digital Firm. Prentice-Hall, Upper Saddle River (2006)

    Google Scholar 

  45. Mintzberg, H.: The Rise and Fall of Strategic Planning. Prentice-Hall, Englewood Cliffs (1994)

    Google Scholar 

  46. DAMA: The DAMA Guide to the Data Management Body of Knowledge. Technics Publications, New Jersey (2009)

    Google Scholar 

  47. Mosley, M.: DAMA-DMBOK Functional Framework Version 3. DAMA International (2008)

    Google Scholar 

  48. IEEE: IEEE Standard Glossary of Software Engineering Terminology. IEEE Computer Society, New York (1990)

    Google Scholar 

  49. Eriksson, H.-E., Penker, M.: Business Modelling with UML - Business Patterns at Work. John Wiley & Sons, New York (2000)

    Google Scholar 

  50. Anthony, R.N.: Planning and Control Systems: A Framework for Analysis. Harvard University Press, Boston (1965)

    Google Scholar 

  51. Vandenbosch, B., Huff, S.L.: Searching and Scanning: How Executives Obtain Information from Executive Information Systems. MIS Quarterly 21, 81–107 (1997)

    Article  Google Scholar 

  52. Nord, J.H., Nord, G.D.N.: Executive Information Systems: A Study and Comparative Analysis. Information & Management 29, 95–106 (1995)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Stock, D., Wortmann, F., Mayer, J.H. (2010). Use Cases for Business Metadata – A Viewpoint-Based Approach to Structuring and Prioritizing Business Needs. In: Abramowicz, W., Tolksdorf, R., Węcel, K. (eds) Business Information Systems Workshops. BIS 2010. Lecture Notes in Business Information Processing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15402-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15402-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15401-0

  • Online ISBN: 978-3-642-15402-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics