The Data Science Lab
  • Home
  • Research
      • Research grants
      • Research interests
      • Student theses
  • Consultancy
      • Consulting projects
      • Cooperate training
      • Enterprise innovation
      • Impact cases
      • Our clients
      • Partnership
  • People
      • Awards and honors
      • Staff
      • Team members
  • Activities
      • Events and services
      • Talks
      • Tutorials
      • Workshops
  • Publications
  • Communities
      • ACM ANZKDD Chapter
      • Big data summit
      • Data Analytics book series
      • DSAA conferences
      • IEEE TF-DSAA
      • IEEE TF-BESC
      • JDSA Springer
      • DataSciences.Info
  • Resources
      • Actionable knowledge discovery
      • Agent mining
      • AI in finance and FinTech
      • Algorithmic trading
      • Anomaly and outlier detection
      • Banking analytics
      • Behavior analytics, computing, informatics
      • Coupling and interaction learning
      • COVID-19 modeling
      • Data science knowledge map
      • Data science dictionary
      • Data science terms
      • Data science tools
      • Data science thinking
      • Domain driven data mining
      • Educational data mining
      • Large-scale statistical learning
      • Metasynthetic engineering
      • Market surveillance
      • Nonoccurring behavior and negative sequence analysis
      • Non-IID Learning
      • Pattern relation analysis
      • Recommender systems
      • Smart beach analytics
      • Social security analytics
      • Tax analytics
  • About us
Our clients

 
We have been in partnership with many large government and business organizations on different occasions. Our collaborations involve many forms and aspects of partnership, from proof of concepts, contract research, Australian Research Council Linkage grants, and Cooperative Research Centre, to commercial arrangements, corporate training, industry PhD scholarships, and joint innovation centre. We deliver innovative enterprise data science and advanced analytics models, solutions and knowledge to our clients, and make sure our deliverables are innovative, customized, actionable, and more valuable and impactful in comparison with our competitors’ solutions.

The business domains we have been involved include FinTech, capital markets, banking, insurance, telecommunications, marketing, health/medical services, education and training, and various areas of the public sectors. Types of data include transactional data, enterprise data warehouses, temporal and spatial data, images, text/documents, social media, and Web/online information in historical, real-time and future senses. Typical business problems include active, tailored and actionable compliance, risk, anomaly management; customer value and care enhancement; behavior science and insights; detection, prediction, prevention, intervention, recommendation and automation of smarter decision-actions; and advancing existing enterprise solutions, knowledge, and innovation.

Thanks to the trust and support by our valuable clients, we were grateful to collaborate with the following organizations:

Our government clients

   
 
 
 

Our business clients

       



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