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MGT812
In today’s dynamic and competitive environment, where leveraging the power of data is pivotal for organisational success, businesses require expertise in effectively collecting, analysing, and interpreting data. This competence enables them to extract actionable insights, make well-informed decisions, and, in turn, optimise both business process performance and strategic positioning.
This subject equips students with both theoretical foundations and practical skills essential for data-driven decision-making, with a primary emphasis on enhancing organisational performance. Students will explore a diverse range of descriptive, diagnostic, predictive, and prescriptive data analysis techniques to optimise business processes and strategies. They will learn how to employ persuasive data visualisation and storytelling techniques to effectively convey complex data insights to relevant stakeholders. Furthermore, students are guided to evaluate how information systems contribute to supporting organisational data analytics initiatives. This subject also places emphasis on managing security vulnerabilities to effectively safeguard the confidentiality, integrity, and availability of data assets. It incorporates case studies and hands-on exercises, providing a practical avenue for students to apply the learned theoretical concepts in real-world scenarios.
a) Apply key theories and concepts in strategic intelligence and business analytics to achieve competitive advantage.
b) Formulate actionable recommendations with the goal of improving organisational processes and strategic positioning.
c) Apply a range of data analysis techniques to derive actionable insights and support organisational decision-making.
d) Critically evaluate the role of information systems to support organisational data analytics initiatives and strategies.
e) Effectively communicate data insights to relevant stakeholders using persuasive data visualisation and storytelling techniques.
No | Type | Weighting | Learning Outcomes |
1 | In-class Technology Analysis Presentations (G) | 20% | a, b, d, e |
2 | Case Study Analysis | 40% | a, b, c, d |
3 | Business Intelligence Report | 40% | a, b, c, d, e |