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Why Big Data? Towards a Project Assessment Framework

机译:为什么要大数据?建立项目评估框架

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Technological evolution and consequent increasing of society and organization information dependency was an important driver to escalation of data volume and variety. At same time, market evolution requires capability to find new paths to improve products/services, client satisfaction and to avoid cost increase associated with it. The relevance of using Big Data for different industries and knowing how to implement it, is something that raises many doubts and discussion. In a Big Data context it is important to evaluate organization needs and understanding if those needs are satisfied with Big Data capabilities, i.e., if they really need Big Data. For that reason, this paper presents a framework, namely BigDAF, capable of measuring a technological/business problem in a Big Data spectrum. This framework aims to help organizations and researchers to understand, not only the meaning of Big Data issue, but also the key factors that determines the necessity of a “Big Data investment”. The framework assessment was applied using three case studies.
机译:技术的发展以及随之而来的社会和组织对信息的依赖性的增加是数据量和种类不断增加的重要驱动力。同时,市场发展要求有能力寻找新途径来改善产品/服务,提高客户满意度并避免与此相关的成本增加。将大数据用于不同行业并知道如何实施它的相关性引起了许多疑问和讨论。在大数据环境中,评估组织需求并了解这些需求是否满足大数据功能(即他们是否确实需要大数据)非常重要。因此,本文提出了一个框架,即BigDAF,它能够测量大数据范围内的技术/业务问题。该框架旨在帮助组织和研究人员不仅了解大数据问题的含义,而且还了解决定“大数据投资”必要性的关键因素。使用三个案例研究进行了框架评估。

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