Detecting significant changes in organisation-customer interactions leading to non-compliance

检测组织与客户互动中导致不合规的重大变化

• 批准号: LP100200774
• 负责人: Prof Longbing Cao
• 金额: $ 21.22万
• 依托单位: University of Technology Sydney
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-11-03 至 2013-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP100200774
• 关键词: Detecting; significant; changes; organisation; customer

The instant detection of risky customer and/or group dynamics and business policy and/or process changes dispersed in normal interactions can avoid immense losses and inconsistent policies for Government and industries, such as preventing Centrelink customer debt. This project will deliver novel analytical techniques and smart information use to effectively detect the above-mentioned changes leading to non-compliance. It will enhance service quality, compliance, payment accuracy and policy design for the Australian Government and industries such as Centrelink, the Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA), banking and insurance. The resulting systems, the researchers trained and resulting publications will significantly enhance Australia's leading role in tackling change-driven non-compliance.

即时检测分散在正常交互中的高风险客户和/或集团动态以及业务政策和/或流程变化，可以避免政府和行业的巨大损失和不一致的政策，例如防止Centrelink客户债务。该项目将提供新的分析技术和智能信息使用，以有效地检测导致不遵守规定的上述变化。它将提高澳大利亚政府和行业的服务质量、合规性、支付准确性和政策设计，如Centrelink、住房、社区服务和土著事务部(FaHCSIA)、银行和保险。由此产生的系统、研究人员培训和由此产生的出版物将大大加强澳大利亚在解决变化驱动的违规行为方面的领导作用。