当前位置:
X-MOL 学术
›
Inf. Manag.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
Demystifying data governance for process mining: Insights from a Delphi study
Information & Management ( IF 8.2 ) Pub Date : 2024-05-07 , DOI: 10.1016/j.im.2024.103973 Kanika Goel , Niels Martin , Arthur ter Hofstede
Information & Management ( IF 8.2 ) Pub Date : 2024-05-07 , DOI: 10.1016/j.im.2024.103973 Kanika Goel , Niels Martin , Arthur ter Hofstede
Data governance is recognised as a new capability for organisations to maximize the value of data. Process mining is essential for the resilient growth of businesses, making process data a strategic asset for organisations. Even though the availability of reliable process data is vital for obtaining dependable insights into process mining techniques, there exists no framework that explains how to govern process data holistically. We address this gap by presenting the first data governance framework for process mining that was derived from a Delphi study conducted with a panel of academics and practitioners from around the world. The framework provides multiple avenues for future research.
中文翻译:
揭秘流程挖掘的数据治理:德尔福研究的见解
数据治理被认为是组织最大化数据价值的新能力。流程挖掘对于业务的弹性增长至关重要,使流程数据成为组织的战略资产。尽管可靠的流程数据的可用性对于获得流程挖掘技术的可靠见解至关重要,但不存在解释如何整体管理流程数据的框架。我们通过提出第一个用于流程挖掘的数据治理框架来解决这一差距,该框架源自与来自世界各地的学者和从业者小组进行的德尔菲研究。该框架为未来的研究提供了多种途径。
更新日期:2024-05-07
中文翻译:
揭秘流程挖掘的数据治理:德尔福研究的见解
数据治理被认为是组织最大化数据价值的新能力。流程挖掘对于业务的弹性增长至关重要,使流程数据成为组织的战略资产。尽管可靠的流程数据的可用性对于获得流程挖掘技术的可靠见解至关重要,但不存在解释如何整体管理流程数据的框架。我们通过提出第一个用于流程挖掘的数据治理框架来解决这一差距,该框架源自与来自世界各地的学者和从业者小组进行的德尔菲研究。该框架为未来的研究提供了多种途径。