Data scientists and analysts can now leverage Mapbox Movement data within BigQuery to integrate geospatial analytics with business data, facilitating insights for strategic decisions like retail site selection. The text demonstrates using Mapbox Movement to evaluate potential restaurant sites by analyzing activity levels during lunch and dinner at various locations. By utilizing H3 hexagons to measure movement scores, the analysis identifies 9225 SW Allen Rd as a prime location for a new restaurant, based on high activity levels during peak dining times. This approach underscores the potential for businesses to use geospatial data to optimize location-based decisions, with sample data provided for those new to BigQuery to experiment with these analyses.