Handbook

As data becomes ever more complex to analyse, the need for tools to help integrate the user's knowledge and inference capability into the analytical process becomes important. In analytics, this is generally referred to as visualisation, which this subject will cover in detail from various perspectives, for example, temporal, spatial, spatial-temporal, multi-variate, text/documents, graphs and networks, and more. These perspectives will be covered with various business applications in mind including, statistical and summary reporting, trends spotting and projections, process capture, and real-time reporting. These applications will be discussed with reference to various visual analytics frameworks and theories as well as case examples.