Some alternative methods to heat maps for visualizing complex data sets like regional sales include:

1. Scatter plots: These can show the relationship between two variables and can also be color-coded to represent different regions.

2. Bar charts: These can be used to compare sales across different regions. Stacked bar charts can also be used to show the breakdown of sales by product within each region.

3. Line graphs: These can be used to show trends over time, with different lines representing different regions.

4. Bubble charts: These can be used to represent three dimensions of data, with the size of the bubble representing the third dimension.

5. Geographic maps: These can be used to show sales data directly on a map, with different colors or sizes of markers representing different levels of sales.

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Amazon is a prime example of a company that has successfully used heat maps to improve their business strategy. They use heat maps to track user behavior on their website. This includes where the user clicks, how long they spend on a page, and what parts of the page they interact with the most. By analyzing this data, Amazon can make changes to their website design and layout to optimize user experience and increase sales.

Companies like Apple and Google can utilize heat maps to visualize their regional sales data by representing the data in a color-coded format. The highest values, which could represent the regions with the highest sales, are represented by lighter colors, while the regions with the lowest sales are represented by darker colors. This allows for a quick, visual comparison of sales data across different regions, making it easier to identify trends, patterns, and areas of interest.

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