
Organisations are facing ever more diverse challenges in managing their enterprise systems as emerging technologies bring both added complexities as well as opportunities to the way they conduct their business. Underpinning this ever-increasing volatility is the importance of having quality data to provide information to make those important enterprise-wide decisions. Numerous studies suggest that many organisations are not paying enough attention to their data and that a major cause of this is their failure to measure its quality and value and/or evaluate the costs of having poor data. This study proposes an integrated framework that organisations can adopt as part of their financial and management control processes to provide a mechanism for quantifying data problems, costing potential solutions and monitoring the on-going costs and benefits, to assist them in improving and then sustaining the quality of their data.
SCM, Big Data, CRM, Data Quality, Enterprise Systems, Accounting Information Systems, ERP
SCM, Big Data, CRM, Data Quality, Enterprise Systems, Accounting Information Systems, ERP
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
