... introduces significant risks, such as data breaches and reduced data quality, which may undermine the strategic value of enterprise commercial intelligence. Therefore, this study examines how enterprise customers decide between in-house and entrusted data storage to original equipment manufacturers...

...Anders Haug Purpose Studies show that data quality (DQ) issues are extremely costly for companies. To address such issues, as a starting point, there is a need to understand what DQ is. In his context, the 1996 paper “Anchoring data quality dimensions ontological foundations” by Wand and Wang has...

...Anders Haug Purpose Numerous data quality (DQ) definitions in the form of sets of DQ dimensions are found in the literature. The great differences across such DQ classifications (DQCs) imply a lack of clarity about what DQ is. For an improved foundation for future research, this paper aims...

... represents new challenges in ensuring high data quality. The purpose of this paper is to identify barriers to obtaining high master data quality. Design/methodology/approach This paper defines relevant master data quality barriers and investigates their mutual importance through organizing data quality...