Knowledge is fact, information, skills you acquired through educational experiences and experience, understanding of a subject, awareness of different activity and familiarity of a fast and situation. The main purpose of knowledge management is to ensure that the information which is getting from different data or huge volume of data set then the information delivered to the appropriate place of the right time so that this knowledge helps for business decision making process (Atkinson & Gutheil, 2009). For example, I am doing agro business which had already done my grandfather from long time. For making a proper business plan I should need my grandfather strategy so if he was able to make a clear documentation on his expertise on agriculture is prior knowledge for me and overall this process is called as knowledge management system. Similarly, in simple term what we communicate in accurate information or have a right skill person at the right time to take a current decision. In order to put off fire you need a firefighter because he /she knows exactly what needs to be performed based on the situation calling an engineer or project manager will not help. This is a proper use of knowledge and it is a purpose of knowledge management (Ehrig, 2007).
The main aim of knowledge management is to enable organization to improve the quality of management decision making by ensuring that reliable a securing information and data which is available through the service lifecycle (Erl, 2009). The main objective of knowledge management is to transform knowledge from one generation to another generation or one place to another place. Basically the knowledge management is enabling service provider to be more effective and also enable all staff have clear and common understanding. Knowledge management also provides complete information on the service at given point in time (Fill, 2007). Knowledge management typically displayed within data to information, knowledge and wisdom. The basic knowledge management process is
Data
Information
Knowledge
Wisdom
Data: Data is set of fact, an embedded system industry we capture data through service management and configuration management tools. By using different SDLC system gives more data on software industry. And the main important things for knowledge management is data always needs to be accurate to get the most appropriate information.
Information: Information usually comes as outcome of data analyzing the data gives a more information. The day to day example, is a financial trend analysis on its balance sheet and income statement. Analysis of the given data gives the specific pattern or trend. Based on this pattern and trend we get the appropriate information.
Knowledge: Knowledge comes from tactical experiences, discussion, Group discussion, review others idea and innovation and innovation and soon. Knowledge is usually content based and it is dynamic. Knowledge makes of the use of available information easily.
Wisdom: when the knowledge we process is being documented shares, communicate it when we get appropriate knowledge from information and the information is getting from high volume data. So based on these documenting the knowledge, sharing, and technology or facility the same to peers and other - leads to wisdom (Singh, 2005).
References
Atkinson, C., & Gutheil, M. (2009). Conceptual modeling: Foundations and applications. Berlin, Germany: Springer. doi:10.1007/978-3-642-02463-4.
Ehrig, M. K. (2007). Measuring similarity between semantic business process models. ACM .
Erl, T. (2009). Service-oriented architecture: Con cepts, technology, and design. Upper Saddle River. NJ: Prentice Hall PTR.
Fill, H.-G. (2007). Visualisation for semantic information systems. Wiesbaden, Germany: Gabler doi:10.1007/978-3-8349-9514-8.
Singh, M. P. (2005). Semantics, processes, agents. John Wiley & Sons, Ltd.
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Knowledge is fact, information, skills you acquired through educational experiences and experience, understanding of a subject, awareness of different activity and familiarity of a fast and situation. The main purpose of knowledge management is to ensure that the information which is getting from different data or huge volume of data set then the information delivered to the appropriate place of the right time so that this knowledge helps for business decision making process (Atkinson & Gutheil, 2009). For example, I am doing agro business which had already done my grandfather from long time. For making a proper business plan I should need my grandfather strategy so if he was able to make a clear documentation on his expertise on agriculture is prior knowledge for me and overall this process is called as knowledge management system. Similarly, in simple term what we communicate in accurate information or have a right skill person at the right time to take a current decision. In order to put off fire you need a firefighter because he /she knows exactly what needs to be performed based on the situation calling an engineer or project manager will not help. This is a proper use of knowledge and it is a purpose of knowledge management (Ehrig, 2007).
The main aim of knowledge management is to enable organization to improve the quality of management decision making by ensuring that reliable a securing information and data which is available through the service lifecycle (Erl, 2009). The main objective of knowledge management is to transform knowledge from one generation to another generation or one place to another place. Basically the knowledge management is enabling service provider to be more effective and also enable all staff have clear and common understanding. Knowledge management also provides complete information on the service at given point in time (Fill, 2007). Knowledge management typically displayed within data to information, knowledge and wisdom. The basic knowledge management process is
Data: Data is set of fact, an embedded system industry we capture data through service management and configuration management tools. By using different SDLC system gives more data on software industry. And the main important things for knowledge management is data always needs to be accurate to get the most appropriate information.
Information: Information usually comes as outcome of data analyzing the data gives a more information. The day to day example, is a financial trend analysis on its balance sheet and income statement. Analysis of the given data gives the specific pattern or trend. Based on this pattern and trend we get the appropriate information.
Knowledge: Knowledge comes from tactical experiences, discussion, Group discussion, review others idea and innovation and innovation and soon. Knowledge is usually content based and it is dynamic. Knowledge makes of the use of available information easily.
Wisdom: when the knowledge we process is being documented shares, communicate it when we get appropriate knowledge from information and the information is getting from high volume data. So based on these documenting the knowledge, sharing, and technology or facility the same to peers and other - leads to wisdom (Singh, 2005).
References
Atkinson, C., & Gutheil, M. (2009). Conceptual modeling: Foundations and applications. Berlin, Germany: Springer. doi:10.1007/978-3-642-02463-4.
Ehrig, M. K. (2007). Measuring similarity between semantic business process models. ACM .
Erl, T. (2009). Service-oriented architecture: Con cepts, technology, and design. Upper Saddle River. NJ: Prentice Hall PTR.
Fill, H.-G. (2007). Visualisation for semantic information systems. Wiesbaden, Germany: Gabler doi:10.1007/978-3-8349-9514-8.
Singh, M. P. (2005). Semantics, processes, agents. John Wiley & Sons, Ltd.