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Cost and Value Management for Data Quality

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Handbook of Data Quality

Abstract

The cost and value of data quality have been discussed in numerous articles; however, suitable and rigor cost measures and approaches to estimate the value are rare and indeed difficult to develop. At the same time, as a critical concern to the success of organizations, the cost and value of data quality become important. Numerous business initiatives have been delayed or even cancelled, citing poor-quality data as the main concern. Previous research and practice have indicated that understanding the cost and value of data quality is a critical step to the success of information systems. This chapter provides an overview of cost and value issues related to data quality. This includes data quality cost and value identification, classification, taxonomy, and evaluation framework, as well as analysis model. Furthermore, this chapter provides a guideline for cost and value analysis related to data quality.

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Notes

  1. 1.

    Data quality and information quality are used interchangeably in this chapter.

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Authors and Affiliations

  1. Universität der Bundeswehr Munich, Neubiberg (Munich), Germany

    Mouzhi Ge

  2. Dublin City University, Dublin, Ireland

    Markus Helfert

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  1. Mouzhi Ge
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  2. Markus Helfert
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Correspondence to Markus Helfert .

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Editors and Affiliations

  1. University of Queensland, Brisbane, Australia

    Shazia Sadiq

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Ge, M., Helfert, M. (2013). Cost and Value Management for Data Quality. In: Sadiq, S. (eds) Handbook of Data Quality. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36257-6_4

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  • DOI: https://doi.org/10.1007/978-3-642-36257-6_4

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