Data scientists must often transform gigabytes or terabytes of datacollected from trillions of sourcesinto valuable insights by finding new ways to make their data work harder. Spatial analysis has become a critical piece of the data science toolkit enriching all forms of data with geographic context. This allows analysts to uncover patterns make predictions and optimize workflows to create operational efficiencies.