You can view the full text of this article for free using the link below.

Title: A total data quality management for credit risk: new insights and challenges

Authors: Helen-Tadesse Moges; Karel Dejaeger; Wilfried Lemahieu; Bart Baesens

Addresses: Department of Decision Sciences and Information Management, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000 Leuven, Belgium. ' Department of Decision Sciences and Information Management, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000 Leuven, Belgium. ' Department of Decision Sciences and Information Management, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000 Leuven, Belgium. ' Department of Decision Sciences and Information Management, Katholieke Universiteit Leuven, Naamsestraat 69, B-3000 Leuven, Belgium; School of Management, University of Southampton, Southampton, SO17 1BJ, UK; Vlerick Leuven Gent Management School, Vlamingenstraat 83, B-3000 Leuven, Belgium

Abstract: Recent studies indicated that companies are increasingly experiencing data quality (DQ) related problems resulting from their increased data collection efforts. Addressing these concerns requires a clear definition of DQ but typically, DQ is only broadly defined as 'fitness for use'. While capturing its essence, a more precise interpretation of DQ is required during measurement. While there is a growing consensus on the multi-dimensional nature of DQ, no exact DQ definition has been put forward due to its context dependency. On the contrary, it is often stated that its constituting dimensions should be identified and defined in relation to the task at hand. Answering this call, we identify the DQ dimensions important to the credit risk assessment environment. In addition, we explore key DQ challenges and report on the causes of DQ problems in financial institutions. Statistical tests indicated nine most important DQ dimensions.

Keywords: data quality management; information quality; credit risk; data definition.

DOI: 10.1504/IJIQ.2012.050036

International Journal of Information Quality, 2012 Vol.3 No.1, pp.1 - 27

Received: 24 Feb 2012
Accepted: 21 Jun 2012

Published online: 13 Sep 2014 *

Full-text access for editors Full-text access for subscribers Free access Comment on this article