在COVID-19大流行期间利用数据科学家和业务预期
Leveraging Data Scientists and Business Expectations During the COVID-19 Pandemic
摘要：
COVID-19疫情对不同的社会阶层构成挑战。从信息技术的角度来看，它确实包括维护举行在线协作活动所需的基础设施;在不确定的情况下执行项目;以及保持软件工程和信息安全最佳做法。本文介绍了一个数据科学团队的背景，该团队由一个臭鼬工作组组成，由在行业和学术界都有经验的专业人士组成，位于一个IT部门，与一个经验丰富的数据工程师团队合作。在疫情开始时，相对较新的数据科学团队将自己定位为高级分析卓越中心。在疫情下，本集团必须满足持份者的期望;以资讯科技所采用的方法管理现有及即将进行的数据科学项目;以及维持高水平的服务质量。本文讨论COVID-19疫情如何影响团队的生产力及其实践，以及从中汲取的经验教训。
英文摘要：
The COVID-19 pandemic presented itself as a challenge for separate societal sectors. On the information technology (IT) standpoint, it does include the maintenance of the infrastructure required to hold collaborative activities that went to happen online; the implementation of projects in a scenario of uncertainty; and keep the software engineering and information security best practices in place. This article presents the context of a data science team organized as a skunk works group composed of professionals with experience in both the industry and academia, located in an IT department working with a team of seasoned data engineers. At the time the pandemic started, the relatively new data science team was positioning itself as a Center of Excellence in Advanced Analytics. With the pandemic, it had to keep up with the expectations from the stakeholders; manage current and upcoming data science projects within the methodology practiced in IT; and maintain a high level in the quality of service delivered. This article discusses how did the COVID-19 pandemic affected the team productivity and its practices as well as the lessons learned with it.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
