Available in 2024
Course code

BUSA3002

Units

10 units

Level

3000 level

Course handbook

Description

Business Intelligence (BI) aims to deliver straightforward snapshots of the current state of affairs to business managers. It uses a combination of software tools, databases and models to support business professionals in their understanding of business operations and performance. One of the goals of BI is that it should be easy for relatively non-technical end users to understand, and even to explore the data and create new reports.


Availability2024 Course Timetables

Newcastle City Precinct

  • Semester 1 - 2024

Learning outcomes

On successful completion of the course students will be able to:

1. Demonstrate understanding of how Business Intelligence (BI) supports managerial decision making and problem solving in the real-world

2. Make use of BI tools and models which are available to assist in managerial decision making

3. Apply knowledge about decision-making processes by interpreting business intelligence to identify a current business issue

4. Critically assess existing BI practices when using data such as product reports, sales reports, and financial reports.


Content

The topics in this course include:

  1. Fundamentals of Business Intelligence (BI) by managing and sharing data in both structured and unstructured format
  2. Review of contemporary BI applications in various industries
  3. Data warehouse modelling and implementation
  4. BI technology in the global business environment

Assumed knowledge

BUSA2001 Big Data AnalyticsSTAT2020 Predictive Analytics


Assessment items

Report: Assignment 1: Report using provided data to establish a set of business issues

Written Assignment: Assignment 2: explore additional data required and recommend extensions to the BI system

Case Study / Problem Based Learning: Critical essay/report on a BI case


Contact hours

Semester 1 - 2024 - Newcastle City Precinct

Integrated Learning Session-1
  • Face to Face On Campus 2 hour(s) per week(s) for 13 week(s) starting in week 1

Course outline