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12<br />

information and satisfied CRM users (Roh et al., 2005). However, implementing a CRM<br />

system that is highly effective may carry a high initial cost (Sohn and Lee, 2005) due to<br />

system equipment and a commitment of dedicated resources and services (Roh et al.,<br />

2005). For this reason it may be necessary for organizations to perform a cost of<br />

ownership (COO) analysis on such systems, evaluating the purchase cost of the system,<br />

the operating costs and utilization over its lifetime (Sohn and Lee, 2005).<br />

Roh et al. (2005) propose that an important starting point for effective CRM<br />

implementations and deployments is an enterprise-wide understanding of the factors that<br />

lead to CRM success: process fit, information quality and system support.<br />

Process fit. Roh et al. (2005) suggest that to leverage marketing and sales efforts<br />

it is imperative for the CRM system to be designed around an extensive understanding of<br />

the CRM process, thereby impeding the CRM system initiatives and can be imperative in<br />

the success of the system.<br />

Customer information quality. A key to the success of a CRM system is to know<br />

your customers; however, merely gathering customer information is not enough. A<br />

successful CRM system should be able to make use of the customer data through<br />

customer information analytics (Roh et al., 2005). Customer information analytics is<br />

more than just mining the data about a customer from the CRM system, rather, it allows<br />

users of the system to build insight into customer and market behaviors (Roh et al., 2005)<br />

while allowing organizations to make better decisions in retail marketing and<br />

appropriately adapting to changing customer needs (Chen, Chiu & Chang, 2005).<br />

System support. A review of the literature suggests that in terms of system<br />

support there are multiple factors that can determine if the CRM system will be

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