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It is important for all professions to have a broad comprehension of business intelligence in terms of current and emerging technology trends and how business intelligence can be applied to support data-driven decision-making. They need to have a broad knowledge of business intelligence, underlying data warehouse and big data architecture to be able apply data mining and data visualisation to support decision-making of organisations in order to achieve superior business performance management. Business intelligence plays a critical role in ensuring that organisations achieve strategic goals by monitoring organisational performance and achievement of day-to-day operational goals.

This course provides students with a broad investigation of theory, design, implementation and application of business intelligence systems in an organisational context of evidence based decision making for enhanced business performance. Students will analyse and apply data driven decision making, data warehouse, big data architecture and business intelligence tools to support improved decision making in organisations. Students will be assessed on their knowledge and comprehension of the design implementation and use of business intelligence systems and application of data mining and data visualisation tools to help solve real world business problems. The architecture, implementation, and practical use of business intelligence are considered in current and real life contexts.

On successful completion of this course, students should be able to:

1. critically analyse, design and recommend how data management systems (data warehousing and data lakes) can be implemented using different approaches and technologies to support business intelligence;
2. analyse and apply strategies processes and underlying technologies for effective management of data to make evidence based decisions;
3. critically analyse organisational and societal problems using descriptive and predictive analysis and internal and external data sources to generate insight, create value and support evidence based decision making;
4. examine legal, ethical and privacy dilemmas that arise from the use if business intelligence, analytics and evidence based decisions making to comply with legal and regulatory requirements;
5. communicate effectively in a clear and concise manner in written report style for both senior and middle management with correct and appropriate acknowledgment of the main ideas presented and discussed.