Avoid Looming Management Risk
Knowledge Management (KM) is a common methodology for determining the impact of risk from foreseeable knowledge loss ensuing from the acts of an organization. KM is often discussed, but such discussions show a marked tendency to remain elusive and confused, making it difficult for an organization to develop a clear plan for its implementation. Business management is a typical knowledge dependent job that requires extensive expert knowledge of individual business processes. Up to the present, this kind of work has generally been supported by individual expert staff. However, as knowledgeable experts age, there is a looming risk that their knowledge of complex business processes will be lost when they retire.
Many business owners understand that, in order to ensure stable and predictable business operations, it is critical that they retain the expertise and knowledge of retiring staff members. Such organizations need to adopt a comprehensive knowledge management approach that is focused on the appropriate capture, sharing, and transfer of expert knowledge in an integrated IT environment, however, questions arise about how to effectively implement KM systems into the organization.
What Is Knowledge Management?
TInformation, the combination of knowledge and data, has become one of the most critical elements for making important business decisions. In business processes generally, expert staff own implicit knowledge and business data changes every day.
Knowledge and business process data are valuable assets in the business process, and the ability to share such assets with expert staff, in a timely and secure fashion, is key to effective business operation management.
These days, smart companies are aware of how important Knowledge Management is. However, turning an ideal understanding of KM into reality is a different story, as the term ‘Knowledge Management’ represents only abstract concepts in the realization of a working knowledge management system.
Knowledge Management Objectives
The capture, organization, storage, and sharing of knowledge by state-of-the-art information technology are fundamental tasks in the implementation of KM.
The objective of our KM is to connect those who know with those who need to know, by leveraging tacit and explicit knowledge, and to facilitate the transfer of information from one-to-many across the organization.
The Key To Knowledge Management Success
A proactive, process oriented KM approach provides greater probability of a successful implementation, especially in the initial stages of KM implementation. The process oriented approach is not just a technical method, but a procedure that each organization needs in order to implement KM that meets their unique business culture and process characteristics.
Identifying significant knowledge throughout the process is key to starting any Knowledge Management system implementation. A further important requirement is an assessment of the existing IT infrastructure and upgrades, where necessary, to build a synchronized Cognitive Computing Service platform. In essence, this represents a shift to a net-centric working culture, which represents a holistic corporate reengineering issue for top management.
The Next Intelligence Approach To Knowledge Management
G enerally, KM implementation starts by developing an understanding of the current state of the work performed by experts in the field and the maturity of the management of data for each process, then identifying the significant data and work process knowledge of typical business processes. At this stage, it may be necessary to interview those senior experts who have expertise and long experience.
The above actions are followed up by focusing on understanding what experts demand from an IT service to make it useful in the performance of their knowledge-oriented decision making process, and arranging the major requirements identified for inclusion in the design of the KM IT platform service.
Following are some of the key focus points necessary to arrange a scope of work for a successful KM implementation:
- Identify significant knowledge of each business process and understand what experts demand from an IT service for more efficient KM and data management.
- Arrange KM IT service requirements by the existing state and the requirements of experts.
- Estimate the scope of work, cost and create a project road map.