Data Visualization Method as the Facilitator for Business Intelligence
Megha Narayanan1, Sanil Shanker KP2
1Megha Narayanan*, Department of Information Technology, Kannur University, Kerala, India.
2Sanil Shanker KP, Department of Computer Science, Government College Thalassery, Kerala, India.
Manuscript received on August 05, 2019. | Revised Manuscript received on August 26, 2019. | Manuscript published on August 30, 2019. | PP: 3925-3928 | Volume-8 Issue-6, August 2019. | Retrieval Number: F9054088619/19©BEIESP | DOI: 10.35940/ijeat.F9054.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Big Data, Business Intelligence, Data Visualization, Visual Elements, Visualization Methods.