a) Discuss the development of big data and its impact on performance measurement and management, including the risks and challenges it presents.[3]
b) Discuss the impact of big data and data analytics on the role of the management accountant.[3]
c) Demonstrate and evaluate different methods of data analysis (e.g. descriptive, diagnostic and predictive analytics). [3]
d) Discuss the use of alternative methods of data analytics (e.g. text, image, video and voice analytics and sentiment analysis. [2]
e) Discuss the ethical issues related to information collection and processing (e.g. the use of ‘black box’ algorithms and large-scale data collection and mining. [2]
Data Analytics