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Visual analysis of economic transactions might help money establishments detect irregular designs, opportunity economic frauds, and prevent losses.

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The information age boosted the creation of data visualization, because of computers and spreadsheet purposes which include Microsoft Excel. Data can be digitized, classified, and presented visually in the form of graphs, charts, and pie diagrams very easily. With the arrival of Business Intelligence (BI) tools, data real-time decision dashboards visualizations become refined and easy to share using dashboards. But as data proceeds to increase, common visualization tools struggle here to process huge datasets, present an extensive image, and give granular insights. Building partaking and aesthetically pleasing visualizations normally takes a lot of human hard work and time. More, personalizing them for a selected Division or area, a business convention or yearly review conferences, or a crucial stakeholder involves added attempts. This hold off can result in the insights to become stale because of the time they reach a decision maker. The delays usually do not prevent at creation, but raise multifold when it comes to updating the visualizations.

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