首页> 外文会议>IEEE International Congress on Big Data >Big data team process methodologies: A literature review and the identification of key factors for a project's success
【24h】

Big data team process methodologies: A literature review and the identification of key factors for a project's success

机译:大数据团队流程方法论:文献回顾和确定项目成功的关键因素

获取原文

摘要

This paper reports on our review of published research relating to how teams work together to execute Big Data projects. Our findings suggest that there is no agreed upon standard for executing these projects but that there is a growing research focus in this area and that an improved process methodology would be useful. In addition, our synthesis also provides useful suggestions to help practitioners execute their projects, specifically our identified list of 33 important success factors for executing Big Data efforts, which are grouped by our six identified characteristics of a mature Big Data organization.
机译:本文报告了我们对已发表的研究的评论,这些研究与团队如何合作执行大数据项目有关。我们的发现表明,执行这些项目的标准尚未达成共识,但该领域的研究重点正在日益增强,改进的过程方法将是有用的。此外,我们的综合还提供了有益的建议,以帮助从业人员执行他们的项目,特别是我们确定的执行大数据工作的33个重要成功因素的清单,这些清单按成熟的大数据组织的六个确定的特征进行分组。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号