University of Oulu

Silvola, R., Härkönen, J., Vilppola, O., Vehkaperä, H., Haapasalo, H. (2016) Data quality assessment and improvement. International Journal of Business Information Systems, 22 (1), 62-81. doi:10.1504/IJBIS.2016.075718

Data quality assessment and improvement

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Author: Silvola, Risto1; Härkönen, Janne1; Vilppola, Olli1;
Organizations: 1Industrial Engineering and Management, University of Oulu, Finland, P.O. Box 4610, FI-90014 University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Inderscience, 2016
Publish Date: 2019-11-25


Data quality has significance to companies, but is an issue that can be challenging to approach and operationalise. This study focuses on data quality from the perspective of operationalisation by analysing the practices of a company that is a world leader in its business. A model is proposed for managing data quality to enable evaluation and operationalisation. The results indicate that data quality is best ensured when organisation specific aspects are taken into account. The model acknowledges the needs of different data domains, particularly those that have master data characteristics. The proposed model can provide a starting point for operationalising data quality assessment and improvement. The consequent appreciation of data quality improves data maintenance processes, IT solutions, data quality and relevant expertise, all of which form the basis for handling the origins of products.

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Series: International journal of business information systems
ISSN: 1746-0972
ISSN-E: 1746-0980
ISSN-L: 1746-0972
Volume: 22
Issue: 1
Pages: 62 - 81
DOI: 10.1504/IJBIS.2016.075718
Type of Publication: A1 Journal article – refereed
Field of Science: 222 Other engineering and technologies
Copyright information: © 2014 Inderscience Enterprises Ltd.