Business Thought Leadership Series

Sydney Business School, University of Wollongong
Business Thought Leadership Series

Competing on Big Data Analytics, Business Value and Firm Performance


An explosion of interest in big data analytics has occurred in recent years from both academia and practice due to the massive digitization of business and big data revolution. This explosion is driven by the fact that firms that injects analytics into their value chain experience 5–6% higher productivity than their competitors. Big data analytics can be used to visualize and describe consumer behaviours, predict future sales, and prescribe effective means to enhance business value and firm performance. To tap into these new developments, this panel discussion aims to explore distinctive characteristics of big data, types of analytics, business value, firm performance and challenges in the broader business landscape, which includes marketing, operations, accounting, finance and talent analytics.

Series Details:

Date: Wednesday 1 November 2017, 5.30pm- 7.30pm
Venue: Seminar Room 7 & 8, Level 18, Gateway Building, 1 Macquarie Place, Circular Quay
Registration Fee: $99pp. Registration will be free of charge for students and staff. Alumni receive a 20% discount

Finger food and drinks will be provided.

 Register Online 

Our Panel of Experts

  • Tim Trumper, Adviser Director, Quantium
  • Andrew Charlton, Director, AlphaBeta Advisors
  • Dr Shahriar Akter, Senior Lecturer of Digital Marketing and Analytics, University of Wollongong
  • Leila Fourie, CEO, Australian Payment Networks


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Discussion Topics:

  • Distinguishing the characteristics of big data
  • Exploring the types of big data analytics for various business functions
  • Illustrating the transactional and strategic business values of big data analytics
  • Descriptive, predictive and prescriptive analytics based big data models
  • Big data analytics for service innovations, pricing strategies, channel optimisation and omni-channel promotions
  • Big data driven predictive accounting and financial security
  • The role of talent capability in big data analytics
  • Linking big data analytics to financial performance and competitive advantages
  • Providing guidelines for tackling the challenges of big data applications
Last reviewed: 10 October, 2017