Knowledge Management for Enterprise Integration Eric rebentisch erebenti@mit. edu X8-7773 28 October 2002
Knowledge Management for Enterprise Integration Eric Rebentisch erebenti@mit.edu X8-7773 28 October 2002
An Objective Perspective on Knowledge Management
An Objective Perspective on Knowledge Management
The Typical Starting Point; Explicit vS, Tacit Knowledge · Explicit Knowledge Can be expressed in words and numbers Easily communicated and shared in hard form Examples: scientific formulas, market data, codified procedures · Tacit Knowledge Difficult to formalize Examples: scientific expertise, operational know-how, industry insights
The Typical Starting Point: Explicit vs. Tacit Knowledge • Explicit Knowledge : • Ca n be express ed in wo rds a nd n umbe rs • Easily communicated and shared in hard form • Examples: scientific formulas, market data, codified procedures • Tacit Knowledge : • Difficult to formalize • Examples: scientific exp ertise, operational knowh o w, industry insights
Three essential Components of Knowledge Management Knowledge discovery and capture Knowledge organization Knowledge sharing
Three Essential Components of Knowledge Management • Knowledge discovery and capture • Knowledge organization • Knowledge sharing
Implementing Knowledge Management Business Intelligence Processes used to enable improved decision making Data mining and warehousing, advanced technologies that glean valuable insight from stored data Knowledge Discovery Text mining techniques enable knowledge discovery from text sources Knowledge Mapping Knowledge sources(people& information)are represented in a context defined by relationships Expertise Location Finding, cataloging making available the best expertise in the corporation when needed for business decision making
Implementing Knowledge Management • Business Intelligence – Processes used to enable improved decision making – Data mining and warehousing, advanced technologies that glean valuable insight from stored data • Knowledge Discovery – Text mining techniques enable knowledge discovery from text sources • Knowledge Mapping – Knowledge sources (people & information) are represented in a context defined by relationships • Expertise Location – Finding, cataloging & making available the best expertise in the corporation when needed for business decision making