Finding the right experts for data gathering through interview serves as a key for particular research works. However, most expert finding methods in the literature require great deals of technical knowledge, making them somewhat impracticable for business researchers without deep technical knowledge. Accordingly, there is a need for an expert finding solution for researchers without a deep technical background. As business researchers may have knowledge about business intelligence and its tools, the use of business intelligence tools can be used to solve such issue. The present paper discusses the process of using business intelligence tools to find potential experts for example topics. Subsequently, based on a literature review, criteria are presented for distinguishing different experts. Finally, the analytic hierarchy process is discussed for assigning weights to both selection criteria and potential experts. The audience of this paper is researchers who are familiar with business intelligence tools or would like to learn how to work with them

中文翻译：

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商业智能工具在专家寻找方面的潜力

通过面谈寻找合适的专家进行数据收集是特定研究工作的关键。但是，文献中的大多数专家发现方法都需要大量的技术知识，这对于没有深厚技术知识的商业研究人员来说是不切实际的。因此，需要没有深厚技术背景的研究人员的专家发现解决方案。由于业务研究人员可能具有有关商务智能及其工具的知识，因此可以使用商务智能工具来解决此类问题。本文讨论了使用商业智能工具查找潜在专家的过程，例如主题。随后，在文献综述的基础上，提出了区分不同专家的标准。最后，讨论了层次分析法，以为选择标准和潜在专家分配权重。本文的读者是熟悉商业智能工具或想学习如何使用它们的研究人员。