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Barriers to BIA Generativity: Which Factors impede Stable BIA Platforms from Enabling Organizational Agility?

机译:BI&A生成的障碍:哪些因素阻碍稳定的BI&A平台实现组织敏捷性?

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To enable organizations to swiftly sense and respond to market changes, organizations have noticed the need to analyze the exploding amounts of available data. Therefore, employees frequently extend their Business Intelligence and Analytics (BI&A) platforms with numerous supplementary silo systems. However, those supplements also bear numerous threats such as replication of data and functionality. Therefore, extant literature recognized the need to implement highly generative BI&A platforms which evoke vast agility to users while at the same time providing a stable platform for further developments. Our work addresses this challenge by exploring contemporary BI&A platforms. We adopt a case study design to examine the BI&A platforms of four organizations. Our inquiry indicates five impediments and reveals how these organizations cope with them. We believe that these findings may help professionals to design generative BI&A platforms that empower users to perform exploratory analyses, integrate internal and external data, and enhance organizational agility.
机译:为了使组织能够快速感知和响应市场变化,组织已经注意到需要分析大量可用数据。因此,员工经常使用众多辅助筒仓系统扩展其商业智能和分析(BI&A)平台。但是,这些补充还带有许多威胁,例如数据和功能的复制。因此,现有文献认识到需要实施高度生成的BI&A平台,该平台可为用户带来巨大的敏捷性,同时又为进一步的开发提供了稳定的平台。我们的工作通过探索当代的BI&A平台来应对这一挑战。我们采用案例研究设计来检查四个组织的BI&A平台。我们的询问指出了五个障碍,并揭示了这些组织如何应对它们。我们认为,这些发现可能会帮助专业人士设计生成型BI&A平台,使用户能够执行探索性分析,集成内部和外部数据并增强组织敏捷性。

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