论文标题
贝叶斯概率模型用于公司环境，并应用于内部审计活动
Bayesian probabilistic models for corporate context, with an application to internal audit activities
论文作者
论文摘要
在本文中，我们介绍了意大利Poste Italiane的业务案例，这是对从事内部审计活动的人力资源进行公平绩效评估的背景。除了建立贝叶斯网络支持Poste Italiane的内部审计部门的目标外，这项工作还导致了在公司环境下的方法学方法的发展方法，其有用性远远超出了此处描述的特定用例。因此，我们介绍了从特征选择到模型结构推理和模型选择的这种分析策略的不同阶段，作为一种通用工具箱，允许完全透明且可解释的过程来支持业务环境中的数据驱动决策。
In this paper we present a business case carried out in Poste Italiane, in the context of fair performance evaluations of human resources engaged in internal audit activities. In addition to the development of a Bayesian network supporting the goal of the Internal Audit unit of Poste Italiane, the work has led to the development of a methodological approach to advanced analytics in corporate context, whose usefulness goes well beyond the specific use case described here. We thus present the different stages of such analytical strategy, from feature selection, to model structure inference and model selection, as a general toolbox that allows a completely transparent and explainable process to support data-driven decisions in business environments.
