Research has shown that the use of big data can modify operational processes in organizations. However, little research has been conducted on overcoming resistance to the process changes needed for adoption of big data technologies. In this article, we address this gap in the literature by investigating the impact of interactive data visualization on decision-making around operational process changes with big data. Our goal is to demonstrate how the choice of visualization of workflow and operational processes impacts decisions to embrace real-time, big data technology. To do so, we conduct a case study of patient/provider interactions in a large health care practice and compare the initial state with a revised workflow using a big data, real-time analytics platform. We then investigate the impact of the data visualization strategy on decision-making to implement operational changes caused by big data. The study demonstrates that interactive data visualization of operational processes can be an enabler in overcoming organizational resistance to big data technologies in a change-resistant organization. The concomitant benefit is that big data analytics is placed directly into the hands of primary decision makers.

中文翻译：

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通过交互式数据可视化克服对大数据和运营变化的抵制。

研究表明，大数据的使用可以改变组织的运营流程。然而，关于克服对采用大数据技术所需的流程变化的阻力的研究很少。在本文中，我们通过调查交互式数据可视化对围绕大数据运营流程变化的决策的影响来解决文献中的这一空白。我们的目标是展示工作流和操作流程的可视化选择如何影响采用实时大数据技术的决策。为此，我们对大型医疗保健实践中的患者/提供者交互进行了案例研究，并使用大数据实时分析平台将初始状态与修改后的工作流程进行了比较。然后，我们研究了数据可视化策略对实施大数据引起的运营变化的决策的影响。该研究表明，运营流程的交互式数据可视化可以成为克服变革阻力组织中对大数据技术的组织阻力的推动因素。随之而来的好处是大数据分析直接交到主要决策者手中。