跨国团队项目中的数据挖掘技术

N. Bushuyeva, Maryna Kutsenko
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引用次数: 1

摘要

本研究旨在研究跨国项目团队的不同知识对项目成功的影响。如今,管理知识的能力变得越来越重要,尤其是当知识总量庞大且多样化的时候。知道如何在团队中创造和传播知识是使你的公司更具竞争力的非常重要的能力。在现代经济条件下,知识可以成为项目产品的一部分。如果是高科技产品,那么对它们的了解是一个重要的组成部分。有价值的知识集中在以下项目,比如员工头脑中的基础和工作经验。在这种情况下,建议使用数据挖掘工具。这些工具可以帮助管理者理解他们在客户分析后收到的数据,然后将它们(数据)分成不同的组。智能数据分析是一个相当复杂的过程,但它有助于根据人口统计、心理和行为变量组织团队成员的特征。智能数据分析可以描述项目阶段成功和不成功经理的概况。调查情报分析结果对项目进展的影响是很重要的,特别是在一个跨国团队的项目中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Mining technics in projects with multinational teams
The research aims to study the impact of different knowledge of multinational project teams on the success of the projects. The ability to manage knowledge gained weight today, and especially when the volume of knowledge is large and diverse. Know how to create knowledge in teams and dispense it are very important abilities to make your company more competitive. In modern economic conditions, knowledge can be a part of a project product. If it is high-tech products, then knowledge of them is an important component. Valuable knowledge goes to the following projects, like base and work experience in the heads of employees. In such circumstances, it is advisable to use the tools of data mining. Such tools can help managers understand the data they receive after customer analysis, and then divide them (data) into different groups. Intelligent data analysis is a rather complicated process, but it helps to organize the characteristics of team members based on demographic, psychological and behavioral variables. Intelligent data analysis can describe a profile of successful and unsuccessful managers during project phases. It is important to investigate the impact of the results of the intelligence analysis on the progress of the project, especially in projects with a multinational team.
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