IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v27y2017i4d10.1007_s12525-017-0245-6.html
   My bibliography  Save this article

The data quality improvement plan: deciding on choice and sequence of data quality improvements

Author

Listed:
  • Dominikus Kleindienst

    (Universitätsstraße 12)

Abstract

With the rapid growth in the amount of data generated worldwide, ensuring adequate data quality (DQ) is increasingly becoming a challenge for companies: data are, among others, required to be timely, complete, consistent, valid, and accessible. Given this multidimensionality, DQ improvements (DQIs) need to be purposefully chosen and –as there can be path dependencies– arranged in an optimal sequence. Thus, this research contributes to performing the complex multidimensional task of ensuring adequate DQ in an economically reasonable manner by providing a formal decision model for identifying an optimal data quality improvement plan (DQIP). This DQIP comprises both an economically reasonable selection and execution sequence of DQIs based on existing interrelationships between different DQ dimensions. Furthermore, a comprehensive Monte Carlo simulation provides insights in implications to put the decision model into operation. For practitioners, the decision model enables efficient allocation of resources to DQIs. The model also gives advice on how to sequence DQIs and attracts attention to the complex problem context of DQ in order to support valid managerial decisions.

Suggested Citation

  • Dominikus Kleindienst, 2017. "The data quality improvement plan: deciding on choice and sequence of data quality improvements," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 387-398, November.
    • Handle: RePEc:spr:elmark:v:27:y:2017:i:4:d:10.1007_s12525-017-0245-6
    DOI: 10.1007/s12525-017-0245-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-017-0245-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12525-017-0245-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Olaf Radant & Ricardo Colomo-Palacios & Vladimir Stantchev, 2014. "Analysis of Reasons, Implications and Consequences of Demographic Change for IT Departments in Times of Scarcity of Talent: A Systematic Review," International Journal of Knowledge Management (IJKM), IGI Global, vol. 10(4), pages 1-15, October.
    2. Kai M. Hüner & Andreas Schierning & Boris Otto & Hubert Österle, 2011. "Product data quality in supply chains: the case of Beiersdorf," Electronic Markets, Springer;IIM University of St. Gallen, vol. 21(2), pages 141-154, June.
    3. Zhengrui Jiang & Sumit Sarkar & Prabuddha De & Debabrata Dey, 2007. "A Framework for Reconciling Attribute Values from Multiple Data Sources," Management Science, INFORMS, vol. 53(12), pages 1946-1963, December.
    4. Craig W. Fisher & InduShobha Chengalur-Smith & Donald P. Ballou, 2003. "The Impact of Experience and Time on the Use of Data Quality Information in Decision Making," Information Systems Research, INFORMS, vol. 14(2), pages 170-188, June.
    5. Donald Ballou & Richard Wang & Harold Pazer & Giri Kumar Tayi, 1998. "Modeling Information Manufacturing Systems to Determine Information Product Quality," Management Science, INFORMS, vol. 44(4), pages 462-484, April.
    6. Amir Parssian & Sumit Sarkar & Varghese S. Jacob, 2004. "Assessing Data Quality for Information Products: Impact of Selection, Projection, and Cartesian Product," Management Science, INFORMS, vol. 50(7), pages 967-982, July.
    7. Olaf Radant, 2014. "Demographic Change: The Reasons, Implications and Consequences for IT Departments," International Journal of Human Capital and Information Technology Professionals (IJHCITP), IGI Global, vol. 5(1), pages 41-54, January.
    8. Donald P. Ballou & Harold L. Pazer, 1995. "Designing Information Systems to Optimize the Accuracy-Timeliness Tradeoff," Information Systems Research, INFORMS, vol. 6(1), pages 51-72, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rainer Alt, 2021. "Electronic Markets on digital platforms and AI," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 233-241, June.
    2. Rainer Alt, 2017. "Electronic markets on transaction costs," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(4), pages 297-301, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xiao, Yu & Lu, Louis Y.Y. & Liu, John S. & Zhou, Zhili, 2014. "Knowledge diffusion path analysis of data quality literature: A main path analysis," Journal of Informetrics, Elsevier, vol. 8(3), pages 594-605.
    2. Amir Parssian & Sumit Sarkar & Varghese S. Jacob, 2009. "Impact of the Union and Difference Operations on the Quality of Information Products," Information Systems Research, INFORMS, vol. 20(1), pages 99-120, March.
    3. Debabrata Dey & Subodha Kumar, 2013. "Data Quality of Query Results with Generalized Selection Conditions," Operations Research, INFORMS, vol. 61(1), pages 17-31, February.
    4. Juha-Miikka Nurmilaakso, 2014. "Coordination costs and ICT investments: an economic analysis," Netnomics, Springer, vol. 15(2), pages 57-67, September.
    5. Qi Liu & Gengzhong Feng & Giri Kumar Tayi & Jun Tian, 2021. "Managing Data Quality of the Data Warehouse: A Chance-Constrained Programming Approach," Information Systems Frontiers, Springer, vol. 23(2), pages 375-389, April.
    6. Even, Adir & Shankaranarayanan, G. & Berger, Paul D., 2010. "Managing the Quality of Marketing Data: Cost/benefit Tradeoffs and Optimal Configuration," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 209-221.
    7. Klein, B. D. & Rossin, D. F., 1999. "Data quality in neural network models: effect of error rate and magnitude of error on predictive accuracy," Omega, Elsevier, vol. 27(5), pages 569-582, October.
    8. Janvrin, Diane & Mascha, Maureen Francis, 2014. "The financial close process: Implications for future research," International Journal of Accounting Information Systems, Elsevier, vol. 15(4), pages 381-399.
    9. Hazen, Benjamin T. & Weigel, Fred K. & Ezell, Jeremy D. & Boehmke, Bradley C. & Bradley, Randy V., 2017. "Toward understanding outcomes associated with data quality improvement," International Journal of Production Economics, Elsevier, vol. 193(C), pages 737-747.
    10. Hazen, Benjamin T. & Boone, Christopher A. & Ezell, Jeremy D. & Jones-Farmer, L. Allison, 2014. "Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications," International Journal of Production Economics, Elsevier, vol. 154(C), pages 72-80.
    11. Xitong Li & Hongwei Zhu & Luo Zuo, 2021. "Reporting Technologies and Textual Readability: Evidence from the XBRL Mandate," Information Systems Research, INFORMS, vol. 32(3), pages 1025-1042, September.
    12. Roman Lukyanenko & Andrea Wiggins & Holly K. Rosser, 0. "Citizen Science: An Information Quality Research Frontier," Information Systems Frontiers, Springer, vol. 0, pages 1-23.
    13. Qi Liu & Gengzhong Feng & Nengmin Wang & Giri Kumar Tayi, 2018. "A multi-objective model for discovering high-quality knowledge based on data quality and prior knowledge," Information Systems Frontiers, Springer, vol. 20(2), pages 401-416, April.
    14. Bettina Distel & Holger Koelmann & Ralf Plattfaut & Jörg Becker, 2022. "Watch who you trust! A structured literature review to build a typology of e-government risks," Information Systems and e-Business Management, Springer, vol. 20(4), pages 789-818, December.
    15. Davidson, Ian & Tayi, Giri, 2009. "Data preparation using data quality matrices for classification mining," European Journal of Operational Research, Elsevier, vol. 197(2), pages 764-772, September.
    16. Paul Glowalla & Ali Sunyaev, 2013. "Process-Driven Data Quality Management Through Integration of Data Quality into Existing Process Models," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 433-448, December.
    17. Dunk, Alan S., 2007. "Innovation budget pressure, quality of IS information, and departmental performance," The British Accounting Review, Elsevier, vol. 39(2), pages 115-124.
    18. Debabrata Dey & Zhongju Zhang & Prabuddha De, 2006. "Optimal Synchronization Policies for Data Warehouses," INFORMS Journal on Computing, INFORMS, vol. 18(2), pages 229-242, May.
    19. Donald Ballou & Richard Wang & Harold Pazer & Giri Kumar Tayi, 1998. "Modeling Information Manufacturing Systems to Determine Information Product Quality," Management Science, INFORMS, vol. 44(4), pages 462-484, April.
    20. Ann-Frances Cameron & Jane Webster, 2013. "Multicommunicating: Juggling Multiple Conversations in the Workplace," Information Systems Research, INFORMS, vol. 24(2), pages 352-371, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:elmark:v:27:y:2017:i:4:d:10.1007_s12525-017-0245-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.