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，以分析IT系统记录的事件数据，以便诊断和预测业务流程偏差。预期的结果包括产生偏差诊断、预测和建议的新型商业智能算法，以及通过交互式视觉分析公布结果。预计结果将帮助流程工作人员指导业务运营朝着一致和合规的结果和更高的业绩方向发展，并帮助分析师和审计师解释异常操作。这应该会让医疗保健、保险、零售和政府等行业显著受益，在这些行业，合规和诚信管理势在必行。

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.