Thursday, September 17, 2009

Learning Objectives

Lesson 1

  • discuss at an introductory level how information technology can be used to assist managerial decision-making;
  • distinguish between strategic, operational, and tactical decisions;
  • discuss at an introductory level who makes decisions within an organisation and how these decisions are typically implemented,
  • discuss at an introductory level the importance of Internet and Web-based technologies in the implementation of decision support systems.
Lesson 2
  • describe various decision styles and factors that influence decision-making;
  • discuss several of the more important capabilities of decision support systems;
  • name and discuss the major components of decision support systems;
  • discuss, using some specific examples, the types of models used for decision support systems;
  • name and describe the purpose of each phase of Simon's methodology and how those phases relate to the use of a decision support system.
Decision Making LO
  • explain** what a decision is and what decision-making is;
  • discuss** why decision-making is a significant role for people involved in business management activites;
  • list and describe** some of the important factors involved in making decisions;
** by explain or discuss or describe I mean write or say something that will help another person understand the concepts.

Decision Support Methodology LO
  • name and describe each of Simon's four phases of decision-making,
  • discuss how decision style, cognition, management style, personality and other factors influence a decision-making process,
  • begin to discuss how support for decision-making can be provided in practice through the use of different types of models that can be used throughout Simon's 'design phase'.
Modelling & Analysis LO
  • identify and describe some typical components that make up a Management Support System ,
  • discuss, with examples, different types of models.
Lesson 3 Business Intelligence
  • Describe issues in data collection, problems, and quality
  • Begin to describe the characteristics, organization and use of business data
  • Begin to explain how the web impacts data collection, organisation and presentation
  • Explain the importance and use of a data warehouse
  • Begin to understand the tools used for business intelligence
Business Analytics LO
  • define the concepts Business Analytics
  • begin to understand the use of technology solutions in the use of Business Analytics
Data Warehousing LO
  • define the concepts of the Data Warehouse
  • begin to understand the concepts of On-Line Analytical Processing (OLAP)
Data Acquisition LO
  • clearly differentiate between data, information, and knowledge
  • discuss several data quality and integrity issues

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