Business Intelligence for the Enterprise

10 Units

Business intelligence (BI) is an umbrella term that combines architectures, tools, databases, analytical tools, applications and methodologies. The major objectives of business intelligence are to enable interactive access to data and to give business managers the ability to conduct analysis and make better decisions. The course covers how to design, implement and integrate business intelligence techniques and systems into the enterprise.

Faculty Faculty of Science and Information Technology
School School of Design, Communication and Information Technology
Availability Trimester 1 - 2014 (Callaghan Campus)
Trimester 1 - 2014 (WebLearn GradSchool)
Trimester 1 - 2015 (Callaghan Campus)
Trimester 1 - 2015 (WebLearn GradSchool)

On successful completion of this course, a student will be able to:

  1. Describe and understand the concepts and components of Business Intelligence and how they are relevant to an enterprise.
  2. Critically evaluate use of BI for supporting decision making in an enterprise.
  3. Understand and use the technologies, applications, tools and methodologies that make up Business Intelligence.
  4. Understand and design the technological architecture that underpins BI systems in an enterprise.
  5. Plan and conceptually implement a BI enterprise system.
  • Information value, classification of types and sources of value, and types of processing that can add value to corporate data sources.

  • The nature and role of business intelligence in contributing to the delivery of business value and competitive advantage in modern enterprises.

  • The relationship of the business intelligence environment, in particular data warehousing and data mining, to different enterprise contexts.

  • The data integration process, data profiling, data cleansing and data enhancement, and their contribution to adding value to data.

  • Data warehouse design; star schemas, redundancy, data distribution and security issues.

  • Adding value to data; knowledge discovery, and data mining.

  • Web-based decision support and mining technology in business intelligence.

Replacing Course(s) GEBU6040 - Knowledge Management
Transition N/A
Industrial Experience 0
Assumed Knowledge Basic competency in Microsoft Excel.
Modes of Delivery External Mode
Internal Mode
Teaching Methods Lecture
Integrated Learning
Computer Lab
Assessment Items
  • Essays / Written Assignments -
  • Examination: Formal -
  • Group/tutorial participation and contribution -
  • Quiz - Class -
Contact Hours
  • Laboratory: for 2 hour(s) per Week for Full Term
  • Lecture: for 2 hour(s) per Week for Full Term
Compulsory Components None listed
Course Materials None listed
Timetable 2015 Course Timetables for INFO6090

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