在数据科学领域创建IT公司的项目管理模型

A. Timinsky, A. Kolomiiets, O. Mezentseva
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引用次数: 0

摘要

考虑了在数据科学领域创建IT公司的项目出现的基础。这些项目的相关性得到证实。运用项目管理模型和方法进行研究的可行性得到了验证。分析了三个方向的文学来源。这些领域包括经典的项目管理、灵活的项目管理方法、价值导向的管理。证明了对所描述的主题的研究不足。描述了描述项目管理知识相关领域的模型和方法组,这些知识对于在数据科学领域开发IT公司创建项目的科学基础是必要的和最低限度的。即:项目团队管理、项目价值管理、项目理念开发、项目内容管理、项目沟通管理、灵活的项目管理工具。在对各个领域的分析中,重点介绍了相关的模型和方法。分析了它们在研究项目中的适用性。提出了一个模型,用于在确定的关键知识领域内以标准卷积的形式为研究项目选择一组模型和方法。对提出的方法进行swot分析。强调了与拟议方法有关的优势、劣势、机会和威胁。对研究的结论进行了阐述。展望了今后的研究方向。
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Project management models to create IT company in the field of Data Science
The basis for the emergence of projects to create IT companies in the field of Data Science is considered. The relevance of such projects is substantiated. The feasibility of their study using models and methods of project management is proven. Literary sources in three directions are analyzed. Such areas include classical project management, flexible approaches to project management, value-oriented management. Insufficient research of the described subject is proved. Groups of models and methods are described that describe the relevant areas of project management knowledge that will be necessary and minimally sufficient to develop the scientific basis of the IT company creation project in the field of Data Science. Namely: project team management, project value management, project concept development, project content management, project communications management, flexible project management tools. In the analysis of each area, the relevant models and methods are highlighted. Their applicability to the researched project is analyzed. A model for selecting a set of models and methods within the identified key knowledge areas for the research project in the form of a convolution of criteria is proposed. SWOT-analysis of the proposed approach was performed. The strengths, weaknesses, opportunities and threats associated with the proposed approach are highlighted. Conclusions to the study are formulated. Prospects for further research in the chosen direction are outlined.
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