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首页> 外文期刊>International journal of information and operations management education >Matching effort to challenge in interdisciplinary graduate program development for data analytics -the use of business process modelling to ameliorate planning bottlenecks
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Matching effort to challenge in interdisciplinary graduate program development for data analytics -the use of business process modelling to ameliorate planning bottlenecks

机译：在跨学科的研究生计划开发中进行数据分析以应对挑战-使用业务流程建模来缓解计划瓶颈

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摘要

The need for business process modelling in higher education is increasing as the complexity of degree programs grows to accommodate new fields in the business market. This is evidenced in the field of data analytics, which is interdisciplinary in nature and severely lacking in professional talent. This paper explores the T-shaped skills desired by businesses seeking graduates with an analytics degree and the challenges that universities face when developing interdisciplinary programs. We apply business process modelling in a university setting by mapping out the current processes involved with starting and sustaining a new graduate degree program. Through this approach, a roadmap is developed as a tool for university domain experts, which highlights areas of inefficiency that can be further streamlined to allow improved flexibility and evaluation of all graduate programs.
机译：随着学位课程的复杂性增加，以适应商业市场中的新领域，高等教育中对业务流程建模的需求也在增加。这在数据分析领域得到了证明，它本质上是跨学科的，并且严重缺乏专业人才。本文探讨了企业寻求具有分析学学位的毕业生所需的T型技能，以及大学在开发跨学科计划时面临的挑战。我们在大学环境中通过绘制与启动和维持新的研究生学位课程有关的当前流程来应用业务流程建模。通过这种方法，路线图被开发为大学领域专家的工具，它突出显示了效率低下的领域，可以进一步简化这些领域，以提高灵活性并评估所有研究生课程。

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