Organizational learning at Telstra attempts to highlight the competitive advantage by improving or learning faster and creating new knowledge. The interest in knowledge management is being driven in part by speed of connectivity, increasing the knowledge content of products and services, shorter development cycles of new products and services, the overload of information as prolific generation of knowledge. It also involves the requests by individuals to rely on the experience of people across the organization. Since its adoption by the business community and the public, the Internet has led to an increase in creative collaboration, the learning and research, electronic commerce, and immediate information. With improved technology, gone are the days of dusty shelves, imperfect or distorted messages and slow mail. In many respects, the practice of organizational learning will continue to evolve with the growth of collaboration applications available from the information technology and Internet (Dimovski, 1998). The electronic learning (e-learning), online discussions, and software are examples of collaborative uses of knowledge management that support the process. Each use may increase the level of research available to an employee, while providing a platform to achieve goals or actions. The data mining is the practice (by automatic or semiautomatic means) to seek and explore stored data resulting in the discovery of meaningful patterns and rules (Wiig, 1997). To do this, Telstra uses computational techniques from statistics, the automation of knowledge and pattern recognition.