ETX2200 · Digital business intelligence

Overview

This unit explores the dynamic realm of harnessing data to drive informed decision-making in contemporary business environments. This unit delves into the core principles of Business Intelligence (BI) within the digital landscape. You will gain a comprehensive understanding of data collection, integration, and analysis using a range of tools and techniques. The curriculum navigates through key facets: from establishing data warehouses and performing predictive analytics to crafting visually compelling dashboards using BI software. Emphasis is placed on practical applications, enabling you to adeptly utilise BI tools for extracting meaningful insights from complex datasets. Moreover, ethical considerations in BI implementation and the evaluation of real-time BI systems form essential components of this course, encouraging critical thinking regarding responsible data usage. By course conclusion, you will be equipped with the foundational knowledge and practical skills required to navigate the evolving field of Digital Business Intelligence, ready to contribute value to data-driven decision-making in organisational settings

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. explain the fundamental concepts and principles of Business Intelligence (BI) in the digital landscape
2. apply data mining, predictive analytics techniques and machine learning algorithms to derive actionable business insights
3. analyse different data visualisation methods for effective communication of business insights
4. create relevant and impactful real-time BI systems on business decision-making.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. You are expected to complete all pre-class activities prior to your scheduled class, and post-class activities should be completed after your scheduled class. Learning activities may include a combination of teacher directed, peer directed and online engagement activities.

Student experience, not official rules. Nothing here changes what the Handbook says.