Big data analytics (BDA) projects are expected to provide organizations with several benefits once the project closes. Nevertheless, many BDA projects are unsuccessful as benefits did not materialize as expected. Organization can manage the expected benefits by measuring these, yet very few organizations actually measure on benefits post project development, and little has been written about BDA benefits measurements that extends beyond those typically identified in the project business case. This study examines how we should establish measures for BDA benefits in the context of a large wind turbine manufacturer investing in BDA to improve their practices when defining BDA benefits measures. We present lessons learned from our action research, that were found useful in establishing BDA benefit measurements. There are three lessons on (1) change, (2) specification of who, and (3) explicitness in establishing a useful BDA benefit measure. We contribute to BDA benefits realization in proposing the lessons to establish BDA benefits measurements. Finally, we discuss the lessons and contributions related to research on BDA value creation and benefits management.

一旦项目结束，大数据分析 (BDA) 项目预计将为组织带来多种好处。然而，许多BDA项目并没有取得预期的效益，因此未能取得成功。组织可以通过衡量这些收益来管理预期收益，但很少有组织真正衡量项目开发后的收益，并且很少有关于 BDA 收益衡量超出项目业务案例中通常确定的收益衡量的文章。本研究探讨了在大型风力涡轮机制造商投资 BDA 的背景下，我们应如何制定 BDA 效益措施，以改进其在定义 BDA 效益措施时的实践。我们介绍了从行动研究中吸取的经验教训，这些经验教训对于建立 BDA 效益衡量方法很有用。在建立有用的 BDA 福利衡量标准方面，有以下三个教训：(1) 变革；(2) 明确谁；(3) 明确性。我们提出建立 BDA 效益衡量标准的经验教训，为 BDA 效益的实现做出贡献。最后，我们讨论了与 BDA 价值创造和效益管理研究相关的经验教训和贡献。