Business Analytics and Decision Making (ISYS90094)

AIMS

Business analytics involves the use of data to support business decision-making. Topics covered include business decision-making, evidence-based management, data warehouse design and implementation, data sourcing and quality, on-line analytical processing (OLAP), dashboards and data mining, case studies of business analytics practice.

Students enrolled in the Master of Information Systems with a weighted average mark of at least 75% can take ISYS90094 Business Analytics and Decision Making instead of ISYS90086 Data Warehousing subject to approval from the Coordinator of the Master of Information Systems.

INDICATIVE CONTENT

This subject introduces the concepts of business analytics, decision making, data warehouse design, data warehouse modelling, data quality, data warehouse implementation - including the extract-transform-load (ETL) process, and data warehouse use in supporting business analytics – including decision making tools and OLAP. Readings are provided for all topics that introduce real world cases on business analytics and related areas and include the use of business analytics in organisations.

The subject also explores how organisations gather and generate multiple forms of information, and how this information is analysed and converted into useful knowledge via individual judgement and organisational learning processes. In applying empirical and analytical approaches to practical situations, students will develop insights into both the nature of the business problems as well as methods that are used for identifying and evaluating alternative solutions. The subject content will include conceptual foundations, practical tools, and case studies to discuss the costs, benefits and risks of the various analytical methods that will be introduced.