The course 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.
1) Motivation for Business Intelligence (BI)
- The challenge of turbulent business environments: overview, major issues and needs for business intelligence and analytics.
- The impact of technology and the internet in the global business environment
- The need for analytics and data mining technologies in competitive business environments
- The strategic value of information and business intelligence in key enterprise systems
- Major issues and the need for business intelligence and analytics
2) Fundamentals of BI
- The management of organisational information systems
- Creating, managing and sharing information and knowledge in business through the effective use of technologies and systems
3) Theory behind BI and Analytics
- The BI lifecycle model and development approaches, the costs, benefits, return on investment and user community.
- Business analytics and business performance management: linking strategy to execution, the link between corporate and BI strategy, differences between performance management and measurement.
- Privacy, ethical and legal issues.
4) Applied BI and analytics
- Data integration and the extraction, transformation, and load (ETL) processes, administration and security issues
- Data Warehouse modelling and implementation success factors.
- The need for data mining technologies in competitive business environments.
- Modelling and predicting customer behaviours.
- Market basket analysis need for analytics and data mining and association rule mining.
- Use of BI and analytics tools in data analysis and knowledge discovery to solve real-world problems
- Review of contemporary BI applications in various industries;
- Interpreting the results of Business Intelligence and Analytics
Sharda, Ramesh; Delen, Dursun and Turban, Efraim 2014, Business Intelligence: A Managerial Perspective on Analytics, 3rd. ed, Pearson , Upper Saddle River
|EXTERNAL, UNISA ONLINE, ONLINE
||10 weeks x N/A
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
|EXTERNAL, UNISA ONLINE, ONLINE
Commonwealth Supported program (Band 2)
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Fee-paying program for domestic and international students
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* Equivalent Full Time Study Load. Please note all EFTSL values are published and calculated at ten decimal places. Values are
displayed to three decimal places for ease of interpretation