Geospatial analysis enhances the understanding of data by incorporating "where" and "when" context, transforming raw spatial information into actionable insights applicable across various fields such as urban planning, public health, and environmental management. Utilizing tools like geographic information systems (GIS), it interprets location-based records and imagery, revealing patterns and relationships that remain hidden in traditional data analysis. This approach aids in better decision-making, improved efficiency, enhanced risk management, and stronger communication through the visualization of complex data on maps and dashboards. Key components include vector and raster data, real-time data from sensors, and the use of GIS software, which collectively support diverse applications like urban development, disaster management, climate research, and business intelligence. Platforms like Felt further streamline the process by offering AI-native, cloud-based Web GIS solutions that facilitate the creation of interactive map dashboards without requiring coding, enabling teams to quickly transition from data collection to decision-making.