Big data analytics (BDA) are gaining importance in all aspects of business management. This is driven by both the presence of large-scale data and management's desire to root decisions in data. Extant research demonstrates that supply chain and operations management functions are among the biggest sources and users of data in the company. Therefore, their decision-making processes would benefit from increased use of BDA technologies. However, there is still a lack of understanding of what determines a company's ability to build BDA capability to gain a competitive advantage. In this study, we attempt to answer this fundamental question by identifying the factors that assist a company in or inhibit it from building its BDA capability and maximizing its gains through BDA technologies. We base our findings on a qualitative analysis of data collected from field visits, interviews with senior management, and secondary resources. We find that, in addition to technical capacity, competitive landscape and intra-firm power dynamics play an important role in building BDA capability and using BDA technologies.

大数据分析（BDA）在业务管理的各个方面都变得越来越重要。这是由大规模数据的存在和管理层将决策根植于数据中的愿望共同驱动的。现有研究表明，供应链和运营管理功能是公司最大的数据来源和用户之一。因此，他们的决策过程将从更多使用BDA技术中受益。但是，仍然缺乏对决定公司建立BDA能力以获取竞争优势的能力的理解。在本研究中，我们试图通过确定有助于或抑制公司建立BDA能力的因素，并通过BDA技术最大限度地提高收益来回答这个基本问题。我们的发现基于对实地访问，与高级管理层的访谈以及辅助资源收集的数据的定性分析。我们发现，除了技术能力外，竞争格局和公司内部动力动态在建立BDA能力和使用BDA技术方面也起着重要作用。