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Current Technologies
 ERP
 CRM
 SCM
 Data Warehousing
 KM
 E-Business (E-Commerce)
Information Technology for Management
 A data warehouse is the main repository of an
organization's historical data, its corporate
memory.
 It contains the raw material for management's
decision support system.
 The data warehouse is optimized for reporting
and analysis (On Line Analytical Processing, or
OLAP).
 A data analyst can perform complex queries and
analysis, such as Data Mining, on the information
without slowing down the operational systems.
Data Warehouse
3
Components Of Data Warehouse
Information
Directory
Internal
Data
Sources
External
Data
Sources
Operational,
Historical data
Data warehouse
Extract,
Transform
Data
Access &
Analysis
Queries &
Reports
OLAP
Data Mining
 Concerned with analysis of data and use of the
software techniques for finding patterns and
regularities in sets of data.
 Attempt by the system to translate huge amounts
of data into knowledge
 Analyzes patterns
 Some examples…..
 Credit Card Companies red-flagging purchases
out of the “norm”
Data Mining
Phases of Knowledge
Extraction:
1. Selection
2. Preprocessing
3. Transformation
4. Data Mining
5. Interpretation
and Evaluation
7
“The basic economic resource
is no longer capital, nor natural
resources, nor labor. It is and
will be knowledge.”
Peter Drucker
8
KM
 The systematic process of creating, maintaining and
nurturing an organization to make the best use of
knowledge to create business value and generate
competitive advantage.
 Capturing knowledge
 Storing knowledge
 Creating knowledge
 Distributing knowledge
 Sharing knowledge
 Using knowledge
 Transfer knowledge from the individual to
the collective realm
9
 Knowledge repositories
 Neural systems
 Data-mining tools
 Contact software
 Intranets
 Extranets
 Water Cooler Technology
Knowledge Technology
(The hardware, software and the hype.)
10
 Tool used to store information
 Also known as Data Warehouses
 Examples:
 Discussion databases
 Best practices repository
 Lessons Learned
 Learning Histories
Knowledge Repositories
11
 Institute for Knowledge Management
Knowledge Management Consortium International
American Productivity and Quality Center
Society for Organizational Learning
The International Soc. for Knowledge Organization
The Gartner Group
The Delphi Group
Major KM Organizations

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E business (e-commerce)

  • 1. Current Technologies  ERP  CRM  SCM  Data Warehousing  KM  E-Business (E-Commerce) Information Technology for Management
  • 2.  A data warehouse is the main repository of an organization's historical data, its corporate memory.  It contains the raw material for management's decision support system.  The data warehouse is optimized for reporting and analysis (On Line Analytical Processing, or OLAP).  A data analyst can perform complex queries and analysis, such as Data Mining, on the information without slowing down the operational systems. Data Warehouse
  • 3. 3 Components Of Data Warehouse Information Directory Internal Data Sources External Data Sources Operational, Historical data Data warehouse Extract, Transform Data Access & Analysis Queries & Reports OLAP Data Mining
  • 4.
  • 5.  Concerned with analysis of data and use of the software techniques for finding patterns and regularities in sets of data.  Attempt by the system to translate huge amounts of data into knowledge  Analyzes patterns  Some examples…..  Credit Card Companies red-flagging purchases out of the “norm” Data Mining
  • 6. Phases of Knowledge Extraction: 1. Selection 2. Preprocessing 3. Transformation 4. Data Mining 5. Interpretation and Evaluation
  • 7. 7 “The basic economic resource is no longer capital, nor natural resources, nor labor. It is and will be knowledge.” Peter Drucker
  • 8. 8 KM  The systematic process of creating, maintaining and nurturing an organization to make the best use of knowledge to create business value and generate competitive advantage.  Capturing knowledge  Storing knowledge  Creating knowledge  Distributing knowledge  Sharing knowledge  Using knowledge  Transfer knowledge from the individual to the collective realm
  • 9. 9  Knowledge repositories  Neural systems  Data-mining tools  Contact software  Intranets  Extranets  Water Cooler Technology Knowledge Technology (The hardware, software and the hype.)
  • 10. 10  Tool used to store information  Also known as Data Warehouses  Examples:  Discussion databases  Best practices repository  Lessons Learned  Learning Histories Knowledge Repositories
  • 11. 11  Institute for Knowledge Management Knowledge Management Consortium International American Productivity and Quality Center Society for Organizational Learning The International Soc. for Knowledge Organization The Gartner Group The Delphi Group Major KM Organizations