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

Abstract

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.