Map data visualization is a powerful tool that transforms complex, raw data into intuitive, actionable insights by arranging it on geographic maps. This method allows users to easily identify patterns, trends, and relationships that might be obscured in spreadsheets, benefiting fields such as logistics, urban planning, public safety, and environmental research. Tools like Tableau and modern GIS software such as Felt have popularized this approach, offering collaborative features that enable real-time data sharing and interactive dashboards. Diverse map types, including point, heat, choropleth, and flow maps, cater to specific analytical needs, such as visualizing density, movement, and changes over time. These visualizations not only enhance decision-making but also facilitate collaboration by enabling teams to explore, filter, and share data seamlessly. Felt, in particular, stands out as a cloud-based, AI-native platform that empowers users across industries to create and deploy sophisticated geospatial tools, making complex datasets accessible and engaging.