The Centre for Business Analytics contributes broadly and deeply to knowledge and practice in analytics.
To aid this purpose, the Centre for Business Analytics has partnered with Kearney to create the Analytics Impact Index, which is a globally recognised guide for organisational leaders to compare and improve their analytics capabilities.
Funding is also provided to research projects across the University of Melbourne. Research topics include areas such as developing new text-mining techniques, new security analytics methods, understanding the shareholder value of investments in analytics, developing new customer lifetime value models and optimising supply chains.
Analytics Impact Index
As investment in analytics continues to grow, many organisations wonder what they can do to extract maximum value from their investment.
The Analytics Impact Index identifies the bottom-line impact and structural elements required to set an organisation up for success and provides practical steps for how your business can improve it's analytics capabilities.
To get involved, download a copy of the 2020 Analytics Impact Index white paper, or take the survey to see how well your organisation is tracking across common benchmarks in your industry.Find out more
The Academic Fellows of the Centre, who come from the fields of information systems, machine learning, economics, operations research, statistics, talent and human resources, strive to produce research that informs
Popularity signals in trial-offer markets with social influence and position bias
Maldonado, F., Van Hentenryck, P., Berbeglia, G., & Berbeglia, F. (2018). Popularity signals in trial-offer markets with social influence and position bias. European Journal of Operational Research, 266, 775-793.
Taming the Unpredictability of Cultural Markets with Social Influence
Abeliuk, A., Berbeglia, G., Van Hentenryck, P., Hogg, T., & Lerman, K. (2017). Taming the Unpredictability of Cultural Markets with Social Influence. WWW '17 Proceedings of the 26th International Conference on World Wide Web, 745-754.
A Business Analytics Capability Framework
Cosic, R., Shanks, G., & Maynard, S. B. (2015). A business analytics capability framework. Australasian Journal of Information Systems, 19.
Designing Multi-Attribute Procurement Mechanisms for Assortment Planning
Li, Z., Shao, L., & Sun, D. (2015). Designing Multi‐Attribute Procurement Mechanisms for Assortment Planning. Decision Sciences, 46(3), 597-622.
Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment
Alvarado, J. C. S., Verspoor, K., & Baldwin, T. Domain Adaption of Named Entity Recognition to Support Credit Risk Assessment. In Australasian Language Technology Association Workshop 2015 (p. 84).
The Benefits of Social Influence in Optimized Cultural Markets
Abeliuk, A., Berbeglia, G., Cebrian, M., & Van Hentenryck, P. (2015). The benefits of social influence in optimized cultural markets. PloS one, 10(4), e0121934.
From Academic Research to Marketing Practice: Exploring the Marketing Science Value Chain
Roberts, J. H., Kayande, U., & Stremersch, S. (2014). From academic research to marketing practice: Exploring the marketing science value chain. International Journal of Research in Marketing, 31(2), 127-140.