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Applying Agile Development Methodologies to Business Analytics

机译:将敏捷开发方法论应用于业务分析

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Based on my professional experience in both the large enterprise and startup worlds, I believe that business intelligence (BI) and the general category of analytics for business can benefit greatly from the application of Agile development methodologies. As mentioned in Tadhg Nagle and Dave Sammon's companion article to this issue of CBR, for the purpose of this survey, we define Agile analytics as "the application of Agile methods to data analytics initiatives in order to increase flexibility, provide faster 'time to value,' and support collaborative relationships between business users and IT developers." In the same way that Agile has helped create more productive interactions between software developers and business leaders, it can create a tight feedback loop around analytics that will make organizations more responsive, powerful, and actionable.
机译:根据我在大型企业和新兴领域的专业经验,我相信商业智能(BI)和用于业务的一般分析类别可以从敏捷开发方法学的应用中受益匪浅。正如Tadhg Nagle和Dave Sammon在本期CBR的配套文章中所提到的,在本次调查中,我们将敏捷分析定义为“将敏捷方法应用于数据分析计划,以提高灵活性,缩短实现价值的时间” ”,并支持业务用户和IT开发人员之间的协作关系。”敏捷可以帮助软件开发人员和业务主管之间建立更有成效的互动,就像它可以围绕分析创建紧密的反馈循环一样,这将使组织变得更加敏感,强大和可行。

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