Business Analytics

• • Use of and value of analytics in Business divisions, management functions, different management levels, performance management
  • Business rules vs business data requirements
  • Marketing analytics, financial analytics, sports analytics, geospatial analytics, security analytics, health analytics, SNA, etc.
  • Multi-platform analytics (mobile, cloud, ERP)
  • Data visualisation, dashboard design, storyboarding with analytics
  • Data-driven decision making vs Intuitive decision making
  • Introduction to advance analytics: Predictive, Prescriptive, CI, sentiment analytics, geospatial analytic
  • Forecasting and predictive analytics, scenario planning
  • Fast data, data lake, social media data, open data

You must have successfully completed the following subject(s) before starting this subject:

SWI-INF10003-Introduction to Business Information Systems ;

Others

In addition to INF10003, students must also complete an additional 12 x subjects (150 credit points) before undertaking INF30030.

Special requirements

No special requirements

Students will develop and enhance their conceptual and practical understanding in data analytics in a business context. Students will have an opportunity to immerse themselves in problem-solving activities requiring lateral and critical thinking by exploring structured and unstructured data, considering and applying the appropriate analytic techniques using a software programming environment for statistical computing (such as R) and visualisation tools and approaching organisational problems through data-driven decision-making processes.

Presentation, reports and journals Initial Project Plan Project Management Presentations Final report and Solution(s)

• Individual/Group (100%)

Current study term: 29 Aug 21 to 28 Nov 21