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Validating Compliance in Enterprise Operations Based on Provenance Data

机译:根据来源数据验证企业运营中的合规性

摘要

Techniques are disclosed for validating compliance with enterprise operations based on provenance data. For example, a computer-implemented method for validating that an enterprise process is in compliance with a rule comprises the following steps. Provenance data is generated, wherein the provenance data is based on collected data associated with an actual end-to-end execution of the enterprise process and is indicative of a lineage of one or more data items. A provenance graph is generated that provides a visual representation of the generated provenance data, wherein nodes of the graph represent records associated with the collected data and edges of the graph represent relations between the records. A correlation is generated between one or more entities in the rule and one or more record types in the provenance data. One or more control points are generated in accordance with the generated correlation. A validation is performed as to whether the enterprise process is in compliance with the rule using the one or more control points.
机译:公开了用于基于出处数据来验证对企业操作的合规性的技术。例如,一种用于验证企业过程是否符合规则的计算机实现的方法包括以下步骤。产生出处数据,其中出处数据基于与企业过程的实际端到端执行相关联的收集数据,并指示一个或多个数据项的沿袭。产生出处图,其提供所产生的出处数据的视觉表示,其中,图的节点表示与所收集的数据相关联的记录,并且图的边缘表示记录之间的关系。在规则中的一个或多个实体与出处数据中的一个或多个记录类型之间生成关联。根据所产生的相关性来产生一个或多个控制点。使用一个或多个控制点对企业过程是否符合规则进行验证。

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