Number of slides: 11
Behind every successful company there is a detailed data analysis. In order for the business to perform well, it needs to be driven by reliable data and credible facts. The successful data analysis will enable you to better understand the company’s operations and the relationships between different variables. By using this template you will be able to successfully represent the company’s financial data and performance in front of shareholders and executives.
The radar graph, or also known as the spider diagram, is a graphical method of displaying multivariate data in the form of a two-dimensional chart. It can show three or more quantitative variables represented on the axes starting from the same point. You can use it to compare the performance of different aspects, functions, and departments of the company such as marketing, finance, teamwork and scheduling.
The column chart is used for comparing different datasets where the length of the bar is proportional to the value of the data. Most of the time they are more useful compared to the line charts because they really emphasize a point and stand out on the page. You can use them to represent a clear picture of the company’s sales, expenses, and profit, as well as its overall cash flows and liquidity.
Another useful graph for presenting financial data is the area graph. It is very effective for showing stacked and cumulative data series. For example, you can use it to present the cumulative sales revenue from different products. By doing this, the audience will be able to visualize the connection of each series relative to each other.
This template contributes for a professional and detailed presentation of the data analysis
The audience will be able to better understand the company’s operations and the relationships between different variables.
The radar graph is great for displaying multivariate data in the form of a two- dimensional chart
It is useful for presenting three or more quantitative variables.
The area chart is great for presenting stacked and cumulative data series
For example, it can be used for presenting cumulative sales revenues from different products.
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