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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The future trends in data visualization for marketing dashboards could include the use of AI and machine learning to provide predictive analytics, the integration of real-time data for up-to-the-minute insights, and the use of interactive dashboards that allow users to manipulate data for personalized insights. There might also be a trend towards more mobile-friendly dashboards as marketers increasingly work on the go. Additionally, we might see more use of data storytelling, where data is presented in a narrative format to make it more engaging and easier to understand.

Global companies like Apple and Google can greatly benefit from using data visualizations in their marketing strategies. Data visualizations can help these companies to make faster and more effective decisions. For instance, they can use dashboards to visualize their marketing budget versus actual spend and spend versus revenue. This can lead to more robust decision-making. Furthermore, companies that use data visualizations are found to be 5 times as likely to make faster decisions and 3 times as likely to execute decisions as intended. They are also twice as likely to be in the top quartile of their industry's financial performance. Therefore, data visualizations can significantly enhance the effectiveness of their marketing strategies and overall business performance.

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