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Knowledge Management Implementation - Critical Successful Factors


Data Requirements of Knowledge Management Projects

Knowledge Management systems tend to use aggregated data and information. Data requirements for knowledge management systems are needed to be defined precisely. The prerequisite of successful Knowledge Management implementation is to capture sufficient information from end-users or receive necessary information from other applications. Data requirements is the reflection of details of business requirements.

Knowledge Management systems should normally access wide range of data from other e-business and ecommerce applications, while e-business applications, such as ERP, CRM or SCM access data in a particular functional area.

Cost of Knowledge Management Implementation

The costs of knowledge management projects vary significantly. Two major factors contributing the cost of Knowledge Management implementations are size and complexity of the project.

Critical Successful Factors of Knowledge Management Implementations

Strategic Planning Strategic planning involves setting project goals, identifying high level business requirements, establishing project teams and high level project estimates, as well as setting the priority of modules to be implemented incrementally.

Architectural Design While high level architectural decision is made as part of the process of choosing a Knowledge Management vendor, it remains as a critical successful factor when integrating Knowledge Management with particular existing information system. Make sure your Knowledge Management plans include a scalable architecture framework.

Phased Approach It is important to break your Knowledge Management project down into manageable pieces by setting up pilot programs and short-term milestones. Dependent on the IT experience, some organizations choose the easiest application as the pilot project, while others implement a mission-critical application first. The pilot project can demonstrate the benefits of Knowledge Management to motivate all the necessary departments and groups to fully commit to the project. Organizations with extensive experience of implementing enterprise solutions tend to go the second approach, which others may prefer the pilot implementation approach.

Data Gathering The start point of data gathering is to focus on the data necessary for your business decision making and to logically derive other data requirements. Lack of sufficient data will lead to the failure in one way, while gathering and storing excessive data will result cost overrun and delay of system delivery.

Organization Commitment The commitment from all parties is the key to the success of Knowledge Management implementation. The commitment comes from the understanding the benefits of knowledge management systems, particularly the specific benefits to related departments. For example, if the sales force isn't completely sold on the system's benefits, they may not input the kind of demographic data that is essential to the program's success.

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