While embracing digitalization that is further accentuated by the Covid-19 pandemic, the real business outcome is achieved through a robust and well-crafted ‘Data Science Strategy’ (DSS), as significant constituent of Enterprise Digital Strategy. Extant literature has studied the challenges in adoption of components of ‘Data Science’ in discrete for various industry sectors and domains. There is dearth of studies on comprehensive ‘Data Science’ adoption as an umbrella constituting all of its components. The study conducts a “Systematic Literature Review (SLR)” on enablers and barriers affecting the implementation and success of DSS in enterprises. The SLR comprised of 113 published articles during the period 1998 and 2021. In this SLR, we address the gap by synthesizing and proposing a novel framework of ‘Enablers and Barriers’ influencing the success of DSS in enterprises. The proposed framework of ‘Data Science Strategy’ can help organizations taking the right steps towards successful implementation of ‘Data Science’ projects.

在拥抱因 Covid-19 大流行而进一步加剧的数字化的同时，真正的业务成果是通过作为企业数字战略的重要组成部分的稳健且精心设计的“数据科学战略”（DSS）来实现的。现有文献研究了在各个行业部门和领域采用离散的“数据科学”组件所面临的挑战。缺乏关于全面采用“数据科学”作为构成其所有组成部分的保护伞的研究。该研究对影响 DSS 在企业中实施和成功的推动因素和障碍进行了“系统文献回顾 (SLR)”。SLR 由 1998 年和 2021 年期间发表的 113 篇文章组成。在本 SLR 中，我们通过综合并提出一个影响 DSS 在企业中成功的“促成因素和障碍”的新框架来解决差距。拟议的“数据科学战略”框架可以帮助组织采取正确的步骤来成功实施“数据科学”项目。