Knowledge, Data and Information
Data represents a set of facts and figures, which are out of context and unorganised. Data is objective and not meaningful until somebody processes it. Once data is processed, it becomes information. Information is an organised set of facts and data, contextualised and categorised for specific uses. There is often confusion between data and information because information is made out of data. The key difference is that information is organised and data is not. Knowledge constitutes what we know. This is a simple but effective definition. Knowledge is constantly changing: we learn new things and we forget things all the time. Knowledge is more than a compilation of facts. The human processes involved assimilate, understand and experience knowledge. Knowledge is what enables lawyers to give advice and solve legal problems. In other words, it is our understanding of legal information.Two Pillars of Knowledge Management: Infrastructure and Processes
Knowledge management consists of two components: infrastructure and processes. Infrastructure relies on:- technology (whether the organisation has the appropriate software and competencies to build a knowledge management system); and
- the organisation’s structure and culture (whether the organisation has the appropriate structure and culture to foster knowledge sharing. For example, how organisations implement knowledge management, whether organisations reward it and whether the culture is supportive of knowledge sharing).
- acquisition (the collection of information);
- conversion (the transformation of such information into effective knowledge);
- application (where knowledge is applied to a specific purpose, such as improving efficiency); and
- protection (the protection of knowledge from outsiders).
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Applications of Knowledge Management
The most straightforward application of knowledge management is the development of capabilities. Knowledge management increases employees’ competencies and skills by facilitating access to and sharing of knowledge. Organisations can also use knowledge management for the purposes of asset management, as it enables the management of intellectual property. Trend forecast is another application of knowledge management. A customer relationship management system is an example of knowledge management that helps an organisation to discover trends and patterns within its customer base.Key Takeaways
The key difference between data, information and knowledge is the degree to which basic facts have been processed. This process of interpretation is what knowledge management is trying to capture. In order to do so, knowledge management relies on two components:- infrastructure (including culture); and
- processes.
- an IT infrastructure supported by management; and
- processes that help capture and distribute information effectively.
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