Nowadays, industries are looking forward to obtain a precise data in both internal database and external database across their organisations. This paper attempts to clarify and recommend a way to share precise data environment. The contribution of this paper is to propose a framework to improve components of Information Quality (IQ) for Automated Information Systems (AIS) in a practical way via a case study firm in Thailand. The core set of information quality and Benefits/Costs/Risks (BCR) analysis of IQ have been presented through a case study which is a medium size textile and garment industry in Thailand. Several designed procedures in AIS have been upgraded to minimise its mismatched data. The major result indicates that, with the enhancement of IQ project, the projected risk cost of losing current customer has been dramatically reduced compared with the projected risk cost of losing potential new customer. The other results, limitations and recommendations are also presented.
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