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Building a Knowledge Management Portal

Building a Knowledge Management Portal. Adapted from a recent presentation by the proprietor Nick Puzey MPhil BSc. Why Bother with KM?. Portals will “heighten individual and team performance, as well as the customer’s perception of value” with regard to the Company”. What is a Portal?.

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Building a Knowledge Management Portal

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  1. Building a KnowledgeManagement Portal Adapted from a recent presentation by the proprietor Nick Puzey MPhil BSc TARNHELM Knowledge Services

  2. Why Bother with KM? Portals will “heighten individual and team performance, as well as the customer’s perception of value” with regard to the Company” TARNHELM Knowledge Services

  3. What is a Portal? “A software application (usually based on a Web browser) which provides a single, secure interface to diverse information, business processes, and expertise regardless of location or structure, specific to the needs of a particular community or individual” TARNHELM Knowledge Services

  4. What is Knowledge Management? • Some useful definitions • Data -- Raw facts, e.g. Part name and number • Information -- Organised data e.g. a Project report • Knowledge -- What we have in our heads • Knowledge Assets -- The intellectual capital of a Company which it uses to generate profits, like people’s market and product knowledge • Knowledge Management -- In a Corporate context this involves developing and using your knowledge assets, e.g. People and Teams TARNHELM Knowledge Services

  5. Key Portal features • Users can search browse and filter content • Provide links to services and applications related to users’ tasks and interests • Enable communities and project teams to collaborate, share information and manage shared tasks • Can create user profiles and notify of similar people or shared interests TARNHELM Knowledge Services

  6. Search techniques used by AutonomyPortals • Use Autonomy’s patented pattern recognition algorithm NOT keyword search. • The algorithm recognizes similar patterns to a user’s input, usually a natural • language query. It employs Bayesian analysis, Shannon’s information theory, • and a neural network with progressive refinement via learning. • Perform well with unstructured data on Corporate information servers like: • email, internal documentation, and news releases. Acceptable formats include: • html, text, PDF, SQL/ODBC databases, MS Office applications, and Lotus • notes. • Automated categorization -- Once the Portal index categories are set up, the • system analyses information in all the available sources and automatically files • new content into appropriate headings. TARNHELM Knowledge Services

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  9. Aerospace applications of KM tools • Knowledge capture and re-use, especially engineering • design rationale • Support for virtual team working and IPTs. Enable staff • to rapidly locate their job-specific information • Problem-solving databases to assist assembly and • maintenance staff • Expert location, e.g. “employee yellow pages” at Northrop- • Grumman • Customer support centre automation, huge ROI achieved • by LM TARNHELM Knowledge Services

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