Course overview
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
Course learning outcomes
- Explain the nature and role of business information systems, of business intelligence and analytics in contributing to the delivery of business value and competitive advantage in modern organisations.
- Differentiate the concepts of strategic information management, business analytics, business performance management and measurement.
- Compare and evaluate key analytics methods, be able to discuss the pros and cons of data mining methods.
- Choose appropriate business intelligence and analytics tools and techniques to implement a business strategy.
- Use business intelligence and analytics software tools to solve real world problems and interpret results.