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.
翻译:从信息技术的角度来看,这一流行病确实包括维持在网上开展合作活动所需的基础设施;在不确定的情况下执行项目;保持软件工程和信息安全最佳做法;这一条介绍了由具有工业和学术界经验的专业人员组成的一个臭桶工作小组的情况,该小组设在一个信息技术部门,与一批老练的数据工程师一起工作;在这种流行病开始时,较新的数据科学小组将自己定位为先进分析学的英才中心;在这种流行病的情况下,它必须满足利益攸关方的期望;在信息技术实践的方法范围内管理当前和即将开展的数据科学项目;保持所提供服务的高质量;这一文章讨论了COVID-19大流行病如何影响小组的生产力及其做法以及从中吸取的经验教训。