Course overview
This course aims to develop proficiency in using industry-standard analytical tools and techniques to operationalise customer-focused data, enabling better business decision-making and greater value creation. It begins with core topics, including customer segmentation through clustering, customer demand forecasting, and ethical, privacy, and managerial considerations in customer data analysis. Building on these foundations, the course explores customer value maximisation through lifetime value analysis, classification, and sentiment analysis, using both supervised and unsupervised machine learning methods. In the final module, students apply customer analytics to digital platforms, incorporating A/B testing and real-time data analysis to optimise e-commerce performance. By integrating analytical concepts with hands-on experience, the course enables students to drive data-informed decision-making that effectively improves customer engagement and organisational efficiency.
- Operations and Customer Analytics Essentials
- Analytics for Value Maximisation
- Customer Analytics for Digital Operations
Course learning outcomes
- Formulate data analytics-driven solutions to address customer-focused operational challenges.
- Apply ethical, privacy, and managerial considerations when collecting, analysing, and using customer data.
- Analyse data-driven strategies to maximise customer engagement, including lifetime value analysis, classification, sentiment analysis, and digital platform optimisation.
- Communicate customer analytics insights and recommendations effectively using appropriate visual, written, and interactive formats
Availability
Class details
Adelaide City Campus West
Class number 54010
Section LE01
Size 200
Available 195
Class number 56585
Section SE01
Size 20
Available 16
Class number 56584
Section SE02
Size 20
Available 19
Class number 58688
Section WS01
Size 70
Available 65
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