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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.
Related Topics
Knowledge Management Solution - Sharing Knowledge with Employees, Customers and Partners
Knowledge Management Technologies and Tools
Benefits of Knowledge Management Systems - Benefits of Automation
Causes of Knowledge Management Failures
Project Management for Knowledge Management Systems
Content Management System
Document Management System - Physical vs. Electronic
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