The Data Science Lab
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  • About us
Enterprise innovation

 
Over the decades, we have been working on bridging the gaps between cutting-edge research and real-world challenges and needs and bridging the gaps between high-quality data science research and high-impact best practice for enterprise innovation.

  • Mission: highly inspired by and enjoying the original exploration of challenging and critical real-world business, social and economic problems;
  • Business problems: integrating innovative business intelligence, customer relationship analysis, marketing analytics, behavior analytics, risk analytics, community analytics, service enhancement, fraud detection, exception analysis, debt analytics, learning analytics, and compliance analytics towards smarter business and decision-making;
  • Expertise and experience: the following has been widely recognized in both public and private sectors: enterprise applications of big data analytics and intelligent systems and decisions in areas such as FinTech, investment, market surveillance, payment accuracy, debt management, risk management, fraud/outlier detection, social security, health care, insurance, marketing, capital markets, and so on in the real world;
  • Our partners: collaborating with many federal governments, state governments, Australian and overseas banks, stock exchanges, financial firms, telecommunication providers, airways, insurance companies, health service providers, online and retail business, education providers, and multi-national vendors;
  • Impact: our work on enterprise data science has led to significant (billions of dollars) savings and performance improvement in such areas as taxation, social welfare, immigration, capital markets, banking, marketing, financial services, education and insurance, for organizations including AMP, ATO, Centrelink/Department of Human Services, DIBP, IAG, Westpac, CBA, Microsoft, SSE, CMCRC, and HCF, recognized in governmental reports, media and OECD report.
About us
Advanced Analytics Institute, University of Technology Sydney, Australia
Level 1, Building 22, Blackfriars Campus, Chippendale, NSW 2008, Australia
Tel: +61-2-9514 4477
Staff: firstname.surname(a)uts.edu.au
Students: firstname.surname(a)student.uts.edu.au
Contacts@datasciences.org