Knowledge Management Techologies T. 10

Knowledge Management Techologies T. 10

1. Business inteliggence aims to provide companies the ability to take full advantage and benefot of all the info handled to turn into knowledge.

   • KM is the strategy through which we enhance and use knowledge achieved into ways and methods to reach goals

2. What do we need to know to achieve what we want?

   • How? When? Why? Where? Who? For what? With what?

3. The tools may be present in any area of a company.

4. What is it?

   • Tools designed to facilitate the work and allow resources to be aplied by exchanging info and knowledge
   • Ruggles defines that KM tools are those that enable organizations to create, access, store and transfer existing knowledge in the company.

5. They help us to:

   • Identify opportunities and threats, create simulations about consequences. Detection of key custumers, Study supplier, Cost analysis, quality analysis, waste analysis

6. By using these, we can achieve:

   • Reduce time to collect relevant info to integrate these tools in a single meeting point.
     • Provide tools to perform comprehensive analysis of the situation to make the decision.
       • Reduce response time from decision for implementation

7. Look forward the fascilitation of info and knowledge.

   • More complex tools have been created, such as DSS and SCM

8. KM main functions

   • Talent retention
     • Provide employees with the right resources to improve.
   • Internal and external communication tools
     • Using internet as a tool to support and conduct communication
   • Current business environment analysis
     • Through knowing and analyzing the information provided by costumers. Detect the position of the company.

9. Classification:

   • Verity Ultraseek
   • Oracle Database Server
   • Netscape Compass Server
   • Altavista Enterprise Serch

10. Organization and storage:

    • 1. Provide support for internal and external sources storage
      • 2. Facilitate the organization ecoming tools for decision

11. Data Warehouse

    • Federated repository for all the data that an enterprise's various business systems collect
      • Emphasizes the capture of data from diverse sources for useful analysis

12. Data Mining

    • Process of finding patterns in a given data set.
      • Is used today in a wide variety of contexts.

13. Multidimensional Analysis

    • Is most often associated with MA, requires data manipulation and computational capabilities