Monitor the business information system's role in analysing corporate performance.
Evaluate established data mining methods. Operate business intelligence software and attack real world problems. Consider privacy, ethical and legal implications.
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Subjects may require attendance
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At the completion of this subject students will be able to:
- Explain the nature and role of business information systems, of business intelligence and data mining in contributing to the delivery of business value and competitive advantage in modern organisations.
- Differentiate the concepts of business information management, business analytics, business performance management and measurement.
- Compare and evaluate key data mining methods, be able to discuss the pros and cons of data mining methods.
- Choose appropriate business intelligence and data mining tools and techniques to implement a business strategy.
- Use business intelligence and data mining software tools to solve real world problems and interpret results.
- Course Overview
- Introduction to Business Intelligence
- Business Intelligence and Performance Management
- Business Intelligence Lifecycle
- Business Analytics and Data Mining
- Data Mining Techniques
- Web Mining
- Data Visualisation
- Information Management
- Data Warehousing for Business Intelligence
- Privacy, Ethics and Legal Considerations
You must have successfully completed the following subject(s) before starting this subject:one of
- GRF-AFE135-Business Data Analysis
- SWI-STA10003-Foundations of Statistics
- GRF-AFE134 (Not currently available)
ACG22 has replaced ACG20 in this stream. They are not considered academically equivalent but share significant content. Do not enrol in ACG22 if you have completed ACG20.
No additional requirements
The degree will explore how business information systems and business intelligence are used to provide business professionals with the ability to conduct analysis of business operations and performance for enhanced decision making. Students will be introduced to current concepts, processes and technologies in business intelligence and business analytics, and will be equipped to use selected analytics, to interpret solutions to business related problems, and to provide relevant business advice.
- 1000 words (20%)
- Invigilated Exam - 1.5 hours (50%)
- 2000 words (30%)