Analytics allow you to discover and communicate meaningful patterns in your data. From finding the best location to making predictions, analytics help you to optimize your decisions.
Most analytics, whether spatial or not, start with asking questions about the data. The better you understand the data, the more you can learn. With ArcGIS, you can get even more information by enriching your locations with additional data.
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More and more data is being collected, but how can you make sense of it? Summarizing your data with nearby locations allows you to clearly see and understand the information.
Find all the locations that best match your needs. You can identify locations that meet any criteria using your data's attributes or by using the unique properties of spatial data, such as the distance or relationship with other places.
Analyze your data to reveal patterns or show areas of concentrations. Find statistically significant spatial clusters of high values (hot spots) and low values (cold spots) in your data.
Predict new information and identify features that are not readily apparent. For example, estimate the values across a continuous area, using sample values at point locations.
Convert an address or other identifier, such as a landmark or business name, to a coordinate and save the result to your database record. Reverse geocode coordinates to get a place name or address, and batch geocode multiple places at the same time. You can do this for over 100 countries around the world.
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Find the quickest route from point A to point B, or see how much area you can cover within 30 minutes. Assign many stops to multiple drivers to meet time windows. From optimizing inspections to sales calls and deliveries, this is how the smartest businesses keep running on time and on budget.
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