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Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes — an exploratory study

Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes — an exploratory study
Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes — an exploratory study
Decision making processes and their outcomes can be affected by a number of factors. Among them, the quality of the data is critical. Poor quality data cause poor decisions. Although this fact is widely known, data quality (DQ) is still a critical issue in organizations because of the huge data volumes available in their systems. Therefore, literature suggests that communicating the DQ level of a specific data set to decision makers in the form of DQ metadata (DQM) is essential. However, the presence of DQM may overload or demand cognitive resources beyond decision makers' capacities, which can adversely impact the decision outcomes. To address this issue, we have conducted an experiment to explore the impact of DQM on decision outcomes, to identify different groups of decision makers who benefit from DQM and to explore different factors which enhance or otherwise hinder the use of DQM. Findings of a statistical analysis suggest that the use of DQM can be enhanced by data quality training or education. Decision makers with a certain level of data quality awareness used DQM more to solve a decision task than those with no data quality awareness. Moreover, those with data quality awareness reached a higher decision accuracy. However, the efficiency of decision makers suffers when DQM is used. Our suggestion would be that DQM can have a positive impact on decision outcomes if it is associated with some characteristics of decision makers, such as a high data quality knowledge. However, the results do not confirm that DQM should be included in data warehouses as a general business practice, instead organizations should first investigate the use and impact of DQM in their setting before maintaining DQM in data warehouses.
0167-9236
32-46
Moges, Helen-tadesse
712b55aa-0d97-4ef8-ab44-5719ff858c23
Vlasselaer, Véronique Van
525118b1-a16d-473a-9db0-ccd9b2f9fcff
Lemahieu, Wilfried
be4bae3f-12b9-417a-91a1-c3c264ffe068
Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0
Moges, Helen-tadesse
712b55aa-0d97-4ef8-ab44-5719ff858c23
Vlasselaer, Véronique Van
525118b1-a16d-473a-9db0-ccd9b2f9fcff
Lemahieu, Wilfried
be4bae3f-12b9-417a-91a1-c3c264ffe068
Baesens, Bart
f7c6496b-aa7f-4026-8616-ca61d9e216f0

Moges, Helen-tadesse, Vlasselaer, Véronique Van, Lemahieu, Wilfried and Baesens, Bart (2016) Determining the use of data quality metadata (DQM) for decision making purposes and its impact on decision outcomes — an exploratory study. Decision Support Systems, 83, 32-46. (doi:10.1016/j.dss.2015.12.006).

Record type: Article

Abstract

Decision making processes and their outcomes can be affected by a number of factors. Among them, the quality of the data is critical. Poor quality data cause poor decisions. Although this fact is widely known, data quality (DQ) is still a critical issue in organizations because of the huge data volumes available in their systems. Therefore, literature suggests that communicating the DQ level of a specific data set to decision makers in the form of DQ metadata (DQM) is essential. However, the presence of DQM may overload or demand cognitive resources beyond decision makers' capacities, which can adversely impact the decision outcomes. To address this issue, we have conducted an experiment to explore the impact of DQM on decision outcomes, to identify different groups of decision makers who benefit from DQM and to explore different factors which enhance or otherwise hinder the use of DQM. Findings of a statistical analysis suggest that the use of DQM can be enhanced by data quality training or education. Decision makers with a certain level of data quality awareness used DQM more to solve a decision task than those with no data quality awareness. Moreover, those with data quality awareness reached a higher decision accuracy. However, the efficiency of decision makers suffers when DQM is used. Our suggestion would be that DQM can have a positive impact on decision outcomes if it is associated with some characteristics of decision makers, such as a high data quality knowledge. However, the results do not confirm that DQM should be included in data warehouses as a general business practice, instead organizations should first investigate the use and impact of DQM in their setting before maintaining DQM in data warehouses.

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More information

Accepted/In Press date: 23 December 2015
e-pub ahead of print date: 31 December 2015
Published date: 1 March 2016

Identifiers

Local EPrints ID: 425690
URI: https://eprints.soton.ac.uk/id/eprint/425690
ISSN: 0167-9236
PURE UUID: 97efe160-2b2a-413e-add8-a877d8954933
ORCID for Bart Baesens: ORCID iD orcid.org/0000-0002-5831-5668

Catalogue record

Date deposited: 31 Oct 2018 17:30
Last modified: 10 Dec 2019 01:45

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Contributors

Author: Helen-tadesse Moges
Author: Véronique Van Vlasselaer
Author: Wilfried Lemahieu
Author: Bart Baesens ORCID iD

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