从提高效率到转型——充分挖掘流程挖掘的潜力

Lisa Higgins, Anthony Marshall, Kirsten Crysel, Jacob Dencik
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引用次数: 1

摘要

由于其有效性,过程挖掘正迅速变得无处不在。IBM商业价值研究所(IBV)最近的一项调查发现,65%的组织报告积极地使用流程挖掘来改进流程。通过与软件即服务(SaaS)提供商合作,增加对其流程的更深入了解,69%的人将其组织的数据与其他SaaS客户进行比较。多达77%的供应链高管表示,他们至少处于流程和任务挖掘的实施阶段。设计/方法/方法IBM商业价值研究院和APQC与牛津经济研究院合作,在2022年上半年对来自所有主要地区和22个行业的13个国家的2000名c级高管进行了调查。IBV和APQC对组织如何使用基准测试和流程挖掘工具、他们从使用这些工具中获得的好处以及他们未来如何使用这些工具进行了深入的分析。大数据和数字技术也为通过流程挖掘来衡量绩效和揭示流程改进机会创造了新的可能性。一门相对较新的学科,应用数据科学来实时发现、验证和改进工作流程。通过利用来自IT系统的数据来创建流程模型,然后检查端到端流程,流程挖掘可以使用专门的算法识别出与规范不同的根本原因,这些见解使管理层能够查看流程是否按预期运行,并确定优化流程的新机会。最近,流程挖掘计划的范围已经扩大到包括更复杂的关键任务功能,特别是人力资本、网络安全和销售。采用流程挖掘的组织在关键业务度量上优于其他组织,包括盈利能力、创新、敏捷性、客户满意度和技术成熟度。10;
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From efficiencies to transformation – tapping the full potential of process mining
Purpose Because of its effectiveness, process mining is rapidly becoming ubiquitous. A recent IBM Institute for Business Value (IBV) survey found that 65 percent of organizations report actively using process mining to improve processes. And in partnership with software-as-a-service (SaaS) providers to add even greater insight into their processes, 69 percent compare their organization’s data with other SaaS customers. And as many as 77 percent of supply chain executives say they are at least at the implementation stage of process and task mining. Design/methodology/approach The IBM Institute for Business Value and APQC, in cooperation with Oxford Economics, surveyed 2,000 C-level executives in first half of 2022 from 13 countries in all major geographies and across 22 industries. The IBV and APQC implemented an in-depth analysis of how organizations use benchmarking and process mining tools, the benefits they gain from use of these tools and how they anticipate using them in the future. Findings Big data and digital technologies also creates new possibilities for measuring performance and revealing process improvement opportunities through process mining ? a relatively new discipline that applies data science to discover, validate and improve workflows in real time. Practical/implications By utilizing data from IT systems to create a process model and then examining the end-to-end process, process mining enables root causes of variations from norms to be identified using specialized algorithms, and these insights enable management to see if processes are functioning as intended and identify new opportunities to optimize them. Originality/value More recently, the scope of process mining initiatives has widened to encompass more sophisticated mission-critical functions, notably human capital, cybersecurity and sales. Organizations that embrace process mining outperform others across key business measures, including profitability, innovation, agility, customer satisfaction and technological sophistication. 10;
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