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Digital Transformation of Information Resource Center of an Enterprise Using Analytical Services

机译:使用分析服务的企业信息资源中心的数字转换

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An information resource center at any of the organization-simply termed as "Library", is evolving to get itself aligned with the organizational goals in its journey of digital transformation. Huge amount of data is generated through variety of library services and management operations. Therefore it is very much critical to make ethical utilization of this data and arrive at meaningful patterns through analytical tools and techniques. This paper initially discusses basics of data analytics, and then presents the application of descriptive, diagnostic and prescriptive analytical principles to information resource datasets. Experimental examples have been used to showcase the discovery of probable significant insights towards identifying improvements, designing appropriate action plans aligned to specific objectives and tracking and monitoring activities. Besides, visualizations tool is used to present outcome of the analytics in a way that explains future actions. Thus, preparing the library department for digital-future.
机译:任何组织的信息资源中心都是“库”,正在发展,以便在数字转换之旅中与组织目标保持一致。通过各种库服务和管理操作生成大量数据。因此,通过分析工具和技术使这种数据的道德利用并以有意义的模式到达是非常重要的。本文最初讨论了数据分析的基础知识,然后呈现了对信息资源数据集的描述性,诊断和规范分析原理的应用。实验示例已被用于展示对识别改进的可能性有关的有可能的有可能性的发现,设计适当的行动计划与特定目标和跟踪和监测活动对齐。此外,可视化工具用于以解释未来行动的方式呈现分析的结果。因此,为数字未来制定图书馆部门。

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