Diagnosis and prediction of business process deviances

业务流程异常的诊断和预测

• 批准号: DP180102839
• 负责人: Prof Marcello La Rosa
• 金额: $ 26.45万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-05-24 至 2023-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180102839
• 关键词: Diagnosis; prediction; business; process; deviances

This project aims to develop an innovative approach based on process execution semantics, to analyse event data logged by IT systems in order to diagnose and predict business process deviance. Anticipated outcomes include novel business intelligence algorithms producing deviance diagnostics, predictions and recommendations and exposing results via interactive visual analytics. The outcomes are expected to aid process workers in steering business operations towards consistent and compliant outcomes and higher performance, and assist analysts and auditors to explain deviant operations. This should significantly benefit industries such as healthcare, insurance, retail and the government where compliance and integrity management are imperative.

该项目旨在开发一种基于流程执行语义的创新方法，分析IT系统记录的事件数据，以诊断和预测业务流程异常。预期成果包括新的商业智能算法，产生异常诊断，预测和建议，并通过交互式可视化分析揭示结果。这些结果预计将有助于流程工作者引导业务运营实现一致和合规的结果和更高的绩效，并协助分析师和审计师解释异常操作。这将使医疗保健、保险、零售和政府等行业受益匪浅，因为合规和诚信管理是必不可少的。