Unstructured Data Analytics for Business

Organisations and government agencies collect large quantities of market and individual data that is inherently unstructured with ill-defined qualitative features – these include text, images, audio and video data. These forms of data are understood as unstructured because of the non-systematic form they take and the fact that their features vary and are ill-defined. In this subject we explore how these forms of unstructured data can be manipulated using different methods for categorisation, visualisation and exploration that help understand and predict behaviour of consumers, employees, suppliers, and other economic actors. Using various cases, the subject explores how different techniques can be employed in different business and economic settings to solve real world problems.

学习分析文本、图像等非结构化商业数据。

• 1Understand the potential use of unstructured data – text, images, sounds, symbols and other qualitative features – in generating new insights in a wide range of business and economic settings;
• 2Assess the challenges and risks associated with designing business analytics applications using unstructured data;
• 3Design and execute a plan for the acquisition, transformation and analysis of unstructured data into usable data for business analysis; and
• 4Apply basic exploratory and predictive techniques to analyse unstructured textual and other forms of qualitative data in business and economics applications.