CHAPTER 9 (MGT300)

Enabling the Organization – Decision Making

  • ·       Reasons for the growth of decision-making information systems

-        People need to analyse large amounts of information
-        People must make decisions quickly
-        People must apply sophisticated analysis techniques, such as modelling and forecasting, to make good decisions
-        People must protect the corporate asset of organizational information
  • ·       Model- a simplified representation or abstraction of reality
  • ·       IT systems in an enterprise

Transaction Processing Systems
  • ·       Transaction processing system - The basic business system that serves the operational level (analysts) in an organization
  • ·       Online transaction processing (OLTP)
  • ·       Online analytical processing (OLAP)

Decision Support System
  • ·       Models information to support manager and business professionals during the decision-making efforts
  • ·       Three quantitative models used by DSSs include:

-        Sensitivity analysis
-        What-if analysis
-        gambar
-        Goal-seeking analysis



Executive Information Systems
  • ·       A specialized DSS that supports senior level executives within the organization
  • ·       Most EISs offering the following capabilities:

-        Consolidation
-        Drill-down
-        Slice-and-dice
·      

  • ·       Digital dashboard- integrates information from multiple components and presents it in a unified display

Artifiial Intelligence (AI)
  • ·       Intelligent system – various commercial appications of artificial intelligence
  • ·       Artificial intelligence (AI)- simulates human intelligence such as the ability to reason and learn
  • ·       Four most common categories of AI include:

1.     Expert system
2.     Neural Network
3.     Genetic algorithm
4.     Intelligent agent

Data Mining
  • ·       Data-mining software includes many forms of AI such as neural networks and expert system
  • ·       Common forms of data-mining analysis capabilities include:

-        Cluster analysis
-        Association detection
-        Statistical analysis


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