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.

Understanding and Measuring Places

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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Determining How Places are Related

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.

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Finding the Best Locations

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.

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Detecting and Quantifying Patterns

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.

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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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