Workshop A: Employing data analytics in fraud control and investigations – a practical approach

Melbourne, Friday 15 August, 8.30-11.30

 

As fraudsters develop their capabilities, methods of prevention and detection must evolve too. The use of data analytics, in both fraud control and investigations, can often provide powerful results. In the public sector, vast amounts of sensitive information and assets must be safeguarded to the highest degree, and smart use of data analytics can help achieve this.

 

Data analytics helps make sense of a vast amount of data; used effectively, it can help uncover otherwise undetectable leads in an investigation, and hot spot areas that may require attention in fraud control programs.

 

This workshop will draw from a wealth of professional experience, using data analytics in a range of circumstances across public sector investigations and fraud control programs. Workshop facilitator and seasoned leader in data analytics, George Cooke, will provide insights from his experience leading the NHS CFA’s Advanced Data Analytics team. You will have the opportunity to discuss the benefits and challenges of using data analytics as a tool in investigations and fraud control programs, as well as the opportunity to have your questions answered.

 

This workshop will focus on practical strategies to enhance the sophistication of fraud detection and prevention in your organisation:

  • Identifying high value datasets to detect suspicious patterns, red-flag behaviours and anomalies
  • Automating fraud detection processes to enhance efficiency and accuracy of evidence gathering
  • Visualising complex datasets to assist in understanding patterns and connections
  • Leveraging advanced data analytics to prevent financial loss and compromission of sensitive information

 

About your workshop leader:

George Cooke, Head of Advanced Data Analytics, NHS Counter Fraud Authority (UK)

George Cooke, Head of Advanced Data Analytics, from the UK’s NHS CFA, leads initiatives in operational data analytics, machine learning, and counter-fraud response, ensuring the programme uses cutting-edge technology and data-driven insights. George is a key leader of Project Athena, which has brought the NHS’ data analysis to a new level for faster, more extensive detection of fraud. The programme uses data science techniques to identify fraud patterns and trends in healthcare data, aiming to spot increasingly sophisticated fraud schemes and take action to prevent them.