Open AccessData Visualization Method as the Facilitator for Business Intelligence
Author(s) -
Megha Narayanan*,
Sanil Shanker
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f9054.088619
Subject(s) - visualization , computer science , business intelligence , bar chart , data science , facilitator , information visualization , data visualization , context (archaeology) , scatter plot , plot (graphics) , data mining , machine learning , paleontology , statistics , mathematics , biology , political science , law
Data visualization methods are used to support business analysis. This paper explores the study on the sophisticated data visualization methods for business inventiveness. These comprise Line and Bar Charts, Scatter Plots, Network Diagrams, Bubble plot, Correlation Matrices and Donut Diagram. The concepts of visual elements are explained in the context of business perception. The paper reviews the capabilities and prophecies of the visualization methods in business analysis. When more data has to be symbolized, the concentration increases and it leads to difficulty in understanding the information to be dillydallied. Data visualization methods for business decisions save the time and resources as well as provide better understanding. The study explores that there exist habituated data visualization methods that are useful in business intelligence. The methods serve as the elite outfits to epitomize Big Data effectively. These techniques are scouted through this literature review. We investigate the pros and cons of data visualization methods in business intelligence.