Effectiveness of Tableau and SQL Software in Analytics in Business Decisions
DOI:
https://doi.org/10.31033/ijemr.13.1.15Keywords:
Tableau, Structured Query Language (SQL), Non-SQL (NoSQL), Big Data, Big Data Analytics, Relational Database, SQL Database, NoSQL DatabaseAbstract
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 e-resources. 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.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Janani. S, Manoj Kumar. S, Akash. S. Bilagi, Prof. Sunetra Chatterjee

This work is licensed under a Creative Commons Attribution 4.0 International License.
Research Articles in 'International Journal of Engineering and Management Research' are Open Access articles published under the Creative Commons CC BY License Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/. This license allows you to share – copy and redistribute the material in any medium or format. Adapt – remix, transform, and build upon the material for any purpose, even commercially.






