Diagnosis and prediction of business process deviances

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偏差。预期的结果包括新的商业智能算法，产生设备诊断、预测和建议，并通过交互式可视化分析显示结果。预期的结果将帮助流程工作者将业务操作转向一致和合规的结果和更高的性能，并帮助分析师和审计员解释异常操作。这将极大地惠及医疗保健、保险、零售和政府等行业，这些行业的合规和完整性管理势在必行。

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.