论文标题
利用数据和分析来通过DataOps进行数字业务转换：信息处理的观点
Leveraging Data and Analytics for Digital Business Transformation through DataOps: An Information Processing Perspective
论文作者
论文摘要
数字业务转型对组织变得越来越重要。由于以数字方式转换业务是一个持续的过程，因此需要一种集成和纪律处分的方法。在实践中出现的数据操作（数据操作）可以为组织提供这种方法来利用数据和分析来进行数字业务转换。本文提出了一个框架，该框架通过信息处理理论（IPT）的镜头来整合数字业务转换，数据分析和数据编号。该框架的详细信息解释了组织如何将数据传播用作综合和纪律处分的方法来了解其分析信息需求并发展数字业务转换所需的分析信息处理能力。支持DATAOPS的数字业务转型反过来，通过提高运营效率并创建新的业务模型来提高组织绩效。这项研究通过通过IPT引入数据库和分析来扩展有关数字转型的当前知识，从而为组织提供了一种新颖的数字业务转换方法。
Digital business transformation has become increasingly important for organizations. Since transforming business digitally is an ongoing process, it requires an integrated and disciplined approach. Data Operations (DataOps), emerging in practice, can provide organizations with such an approach to leverage data and analytics for digital business transformation. This paper proposes a framework that integrates digital business transformation, data analytics, and DataOps through the lens of information processing theory (IPT). The details of this framework explain how organizations can employ DataOps as an integrated and disciplined approach to understand their analytical information needs and develop the analytical information processing capability required for digital business transformation. DataOps-enabled digital business transformation, in turn, improves organizational performance by improving operational efficiency and creating new business models. This research extends current knowledge on digital transformation by bringing in DataOps and analytics through IPT and thereby provide organizations with a novel approach for their digital business transformations.
