Use this URL to cite or link to this record in EThOS:
Title: Sustaining data quality : lessons from the field : creating and sustaining data quality within diverse enterprise resource planning and information systems
Author: O'Brien, T.
Awarding Body: Nottingham Trent University
Current Institution: Nottingham Trent University
Date of Award: 2011
Availability of Full Text:
Access from EThOS:
Access from Institution:
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. A quantitative survey was then undertaken using a web-based self-administered questionnaire distributed to a number of the researcher's colleagues within Remploy. The findings from both the qualitative study and the quantitative survey provided unique material in terms of key findings and themes. A number of principle findings then emerged relating to: the significance of the role of a 'champion' at various levels within a project; the importance of measurement, reporting and feedback relating to any improvement process; the necessity for systems and the people that use them to be allowed to mature; and the manner in which peoples' perceptions and attitudes toward data and data quality can have considerable degrees of inconsistency. In conclusion it is felt that the outcomes of this study have the potential to both improve and sustain quality data within enterprise systems when applied to practical business and professional settings, whilst also providing the academic community with the promise of a contribution to the body of knowledge. In the last stage of the research the hospitableness profiling tool was deployed in a commercial setting with a group of pub tenants and business owners. The (non-validated) hospitableness scores achieved by participants were then tested for correlation against sales and mystery customer information provided by a regional brewery. Although no relationship was found a number of mitigating factors were acknowledged that may have been significant and the document concludes with clear areas for further post-doctoral research identified.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (D.B.A.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available