1MBA, IFIM College, Karnataka, India
2MBA, IFIM College, Karnataka, India
3MBA, IFIM College, Karnataka, India
4Assistant Professor, Department of Computer Applications, IFIM College, Karnataka, India
*Corresponding Author: janani.s@ifim.edu.in
Online published on 3 May, 2023.
The ability to raise, manage and examine the data gathered by multiple people around the library is provided by data images to librarians. This article discusses the Ohio State University Libraries' experiences with Tableau, sophisticated information management, and quick analytics solutions. Tableau enables the librarian to combine and make use of data gathered from various sources, as well as deal with logs, Google Analytics, and usage reports for eresources. In addition to sharing visualization examples, the essay explains the backdrop for including information graphics in The Ohio State University Libraries' assessment program. The benefits of combining and viewing information visualizations from various sources are described and investigated. The paper is ended with a brief discussion of the potential future developments for using Tableau Desktop to visualize library information.
Tableau, Structured Query Language (SQL), Non-SQL (NoSQL), Big Data, Big Data Analytics, Relational Database, SQL Database, NoSQL Database