Sustaining data quality - lessons from the field: creating and sustaining data quality within diverse enterprise resource planning and information systems

This research has identified a gap in the literature surrounding the process of improving and sustaining the quality of data within enterprise resource planning and information (ERP) systems. The study not only established firmly that quality data is an absolute necessity for all organisations, none more so than those operating ERP systems, but identified that for any improvement process to be worthwhile it must gain some degree of sustainability. For this reason this study has attempted to discover the means by which the quality of data can be improved but more fundamentally become embedded within an organisation. A detailed review of the literature was undertaken which unearthed rich material in particular around the concept of data quality and its application within business systems, from which a correlation was established between the concepts of a planning and information system and that of a product manufacturing system. A conceptual framework was then developed based upon three conceptual elements seen to be key to any data quality programme namely: people, processes and data. A qualitative study was undertaken within the researcher's own organisation Remploy, employing an action research/focus group approach aligned to a data quality improvement initiative that was already in place within the organisation. A series of site meetings and conference calls took place embracing forty eight of the fifty four factories together with seven business groups.

Name dc:type.qualificationname

dba

Level dc:type.qualificationlevel

doctoral

Grantor dc:publisher.institution

Nottingham Trent University

Year dc:date.issued

2011

Author dc:creator

• O'Brien, T

Language dc:language

en