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Tapping otherwise unused data Disclosure Number: IPCOM000234686D
Publication Date: 2014-Jan-28
Document File: 2 page(s) / 49K

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The Prior Art Database


Disclosed is a mechanism which aims at collecting useful information from the chat session when people interact in chat system to seek an answer or information.

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Tapping otherwise unused data

Much of the knowledge in an enterprise is grounded in the minds of employees. One of the means for an employee to seek an answer or information (knowledge) on any subject or problem is through chatting with other employees who have built expertise in that area. More often this kind of information goes untapped due to many reasons even though there are various means to record this kind of information (like Wiki's). Now, consider collecting this knowledge systematically right at the moment and place where this was obtained. Following disclosure aims at collecting this kind of data from the chat system itself where parties involved in discussion approve and finally submit the information that needs to be recorded.

The primary concern today is to ensure that the knowledge necessary to drive business processes is captured and made available seamlessly. Few individuals learn by trying to do things themselves, however most people learn from human interactions. Today, one of the primary means for real time interaction is chat system. When people share knowledge openly, the sum is greater than the parts. Huge volumes of knowledge can be generated when people interact. If all this knowledge is tapped, it results in efficiency. Time and many other resources are wasted when individuals have to learn something through trail and error, working in isolation. Apart from capturing the knowledge it has many business benefits like -

a) Transferring the knowledge into other parts of organization where it is required.

b) Increases operational excellence.

c) Helps in sharing best practices, lessons learned.

d) Over time, makes everyone perform as SMEs in multiple areas.

e) Curbs information loss due to movement of employees. The biggest pain point in IT.

f) Reduces the ramp-up time.

Use Cases -

1) User seeks an answer to some query by chatting with a SME, once user is satisfied with the answer, user summarizes (helps i...