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Data Visualisation in Business

Data Visualisation in Business

Remya Lathabhavan, K. M. S. V. D. Akshar
Copyright: © 2021 |Pages: 11
ISBN13: 9781799866732|ISBN10: 1799866734|ISBN13 Softcover: 9781799866749|EISBN13: 9781799866756
DOI: 10.4018/978-1-7998-6673-2.ch009
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MLA

Lathabhavan, Remya, and K. M. S. V. D. Akshar. "Data Visualisation in Business." Applications of Big Data in Large- and Small-Scale Systems, edited by Sam Goundar and Praveen Kumar Rayani, IGI Global, 2021, pp. 126-136. https://doi.org/10.4018/978-1-7998-6673-2.ch009

APA

Lathabhavan, R. & Akshar, K. M. (2021). Data Visualisation in Business. In S. Goundar & P. Rayani (Eds.), Applications of Big Data in Large- and Small-Scale Systems (pp. 126-136). IGI Global. https://doi.org/10.4018/978-1-7998-6673-2.ch009

Chicago

Lathabhavan, Remya, and K. M. S. V. D. Akshar. "Data Visualisation in Business." In Applications of Big Data in Large- and Small-Scale Systems, edited by Sam Goundar and Praveen Kumar Rayani, 126-136. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-6673-2.ch009

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Abstract

The main objective of data visualization is to communicate information clearly and effectively through graphical means. It doesn't mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. To convey ideas effectively, both aesthetic form and functionality need to go hand in hand, providing insights into a rather sparse and complex data set by communicating its key-aspects in a more intuitive way. This chapter analyses the following aspects of data visualisation. First, it describes data visualisation. Second, it describes the importance of data visualisation in business. Third, it describes different types of data visualisation methods used in business and familiarises some tools available for data visualisation. Last, it describes the recent developments in data visualisation and its future research directions.

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