External Location Data
has long been used to decide where malls, distribution centres, hospitals, hotels and other centres should be sited.
Now joining and extracting value from the "internal" data showing movement and activity over time helps to optimise layout, access, security and flow.
Add in the data streaming from machine sensors and a more complete picture is available to predict, plan and act.
For these organizations, using isolines or other types of LDS was especially beneficial in determining where to place malls, hospitals, or additional operations. Businesses could establish how long it took to go to various location points via walking or driving using spatial data for strategic analysis and intelligence. This type of intelligence was essential for setting competitive prices, optimizing your distribution channels, or knowing your target audience. But what if you could take those insights a step further, inside your establishment? What if you could offer your clients optimum analysis on traditionally unseen patterns and trends?
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