Business Analytics

Track Chair/s

Andrew Burton-Jones University of Queensland Australia
Graeme Shanks University of Melbourne Australia

Track Description

Business analytics refers to the skills, technologies, applications and practices for continuous iterative exploration and investigation of data to gain insight and drive business planning (based on http://en.wikipedia.org/wiki/Business_analytics). The field of business analytics largely exists because of IT (because IT has led to a growing production of data) and depends heavily on IT (because organizations rely on IT applications to filter, aggregate, and analyse their data). Decision-makers use comprehensive reporting, dash-boarding, online analytical processing (OLAP), data mining, visualisation technologies, and data warehouses, to improve and enhance their decision-making capabilities. Many organisations have reported significant benefits using Business Analytics systems (Davenport and Harris 2007).

Meanwhile, corporations are increasingly aware of the opportunities and challenges caused by "big data" and treat investments in business analytics systems as important sources of strategic value and competitive advantage. In recent years Oracle, IBM, Microsoft and SAP between them have spent more than $15 billion on buying software firms specialising in data management and analytics. This industry is estimated to be worth more than $100 billion and growing at almost 10% a year, roughly twice as fast as the software business as a whole. See http://www.economist.com/node/15557443?story_id=15557443

This track seeks research that advances the field of business analytics. We are looking for papers with a managerial, methodological or technical perspective. Submissions based on theoretical research, design research, action research, case study or behavioural research, are encouraged. We particularly seek "interesting" papers that push the boundaries of current thought.

Topics of interest include, but are not limited to:

View other tracks