SlideShare a Scribd company logo
* 
Syarifah Alfizah, Jude Vergir, Rudy Anthony, Nur 
Baitul Izzah , James
*Types of Information System 
*Tech for data warehouse 
*Data mart. 
*Data mining technology 
*Artificial intelligence(AI) 
*Tech for non-database model of KM. 
*
* 
1.MIS & EIS 
MIS – Management Information System. 
EIS – Expert Information System. 
*Created & Used at the management level of an organization. 
*Facilitated the function of planning, controlling & decision 
making by providing routine summary & exception reports. 
*Oriented to internal event & dependent on.
2.DSS – Decision Support System 
*Combine data & sophisticated analytical models (data 
analysis tool). 
*Bring information from external sources. 
e.g: Product price of competitors 
3.GIS – Geographical Information 
System 
*Powerful technology allows virtually unlimited amounts of 
information to linked a geographical location. 
*Records, Stores & Analyses.
*Enables one to extract information from legacy 
systems(larges database) and other online 
transaction processing and business 
applications. 
*Provides an integrated view of all business 
related data, and useful for business analysis. 
*Provides access to an integrated view of all 
transactions and business related data. 
*
*Like the data warehouse technology except 
that it extracts and provides integration of 
information at a department/division level. 
*E.g. for sales forecasting and product 
development. 
*
*Data mining is a technology that complements 
data warehousing. 
*Data mining technology helps to find patterns 
and correlations within all of these data. 
*Data mining tools can extract hidden 
information through techniques such as key 
words, query, and analysis, to lead to 
knowledge discovery 
*
1. Query and Reporting Tools. 
2. Statistical Analysis Tools. 
3. Data Discovery Tools. 
4. Text Mining. 
*
Artificial Intelligence (AI) can be regarded as 
enabling technologies in an overall KM solution. 
*
1. Filtering 
2. Fuzzy Matching 
3. Interoperability at the Knowledge Layer 
4. Knowledge Representation 
*
1.INTRANETS 
*Internal organizational network using internet technology to 
provide private internet service within the organization. 
2.EXTRANETS 
*Extend intranets or the private intranets that are extended to 
authorized users outside the company. 
*
*

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K technology (Knowledge Management)

  • 1. * Syarifah Alfizah, Jude Vergir, Rudy Anthony, Nur Baitul Izzah , James
  • 2. *Types of Information System *Tech for data warehouse *Data mart. *Data mining technology *Artificial intelligence(AI) *Tech for non-database model of KM. *
  • 3. * 1.MIS & EIS MIS – Management Information System. EIS – Expert Information System. *Created & Used at the management level of an organization. *Facilitated the function of planning, controlling & decision making by providing routine summary & exception reports. *Oriented to internal event & dependent on.
  • 4. 2.DSS – Decision Support System *Combine data & sophisticated analytical models (data analysis tool). *Bring information from external sources. e.g: Product price of competitors 3.GIS – Geographical Information System *Powerful technology allows virtually unlimited amounts of information to linked a geographical location. *Records, Stores & Analyses.
  • 5. *Enables one to extract information from legacy systems(larges database) and other online transaction processing and business applications. *Provides an integrated view of all business related data, and useful for business analysis. *Provides access to an integrated view of all transactions and business related data. *
  • 6. *Like the data warehouse technology except that it extracts and provides integration of information at a department/division level. *E.g. for sales forecasting and product development. *
  • 7. *Data mining is a technology that complements data warehousing. *Data mining technology helps to find patterns and correlations within all of these data. *Data mining tools can extract hidden information through techniques such as key words, query, and analysis, to lead to knowledge discovery *
  • 8. 1. Query and Reporting Tools. 2. Statistical Analysis Tools. 3. Data Discovery Tools. 4. Text Mining. *
  • 9. Artificial Intelligence (AI) can be regarded as enabling technologies in an overall KM solution. *
  • 10. 1. Filtering 2. Fuzzy Matching 3. Interoperability at the Knowledge Layer 4. Knowledge Representation *
  • 11. 1.INTRANETS *Internal organizational network using internet technology to provide private internet service within the organization. 2.EXTRANETS *Extend intranets or the private intranets that are extended to authorized users outside the company. *
  • 12. *