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Apart from data visualization, other methods that can aid in making robust decisions include statistical analysis, predictive modeling, data mining, and machine learning algorithms. These methods can help identify patterns, trends, and correlations in data that may not be immediately apparent through visualization. Additionally, using decision trees, scenario analysis, and sensitivity analysis can also aid in decision-making by providing a structured approach to evaluate different options and their potential outcomes.
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Need a dashboard to compare budget vs. actual spent? This fully customizable dashboard tracks budget vs actual and actual spent vs. ROI gained over an...
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It's important to turn this data into dashboards - for one, the Wharton School of Business found the use of data visualization could shorten meetings by 24%. And Bain and Company found that companies who use data visualizations are 5x as likely to make faster decisions than their peers and are 3x as likely to execute decisions as intended. With dashboards to visualize your marketing budget versus actual and spend versus revenue, you're more likely to make more robust decisions. And according to Bain, you'll be 2x as likely to be in the top quartile of your industry's financial performance. Not bad at all!
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