What Is Location Analytics?

Location analytics is how organizations may draw insight from their data's location or geographic component. If a picture is worth 1,000 words, then location analytics is the process. Data, particularly transactional data created by businesses, frequently has a geographical component that, when presented in a geographic information system, enables additional dimensions of analysis and insights to be gained. This was especially the case when the businesses provided the data. Location analytics analyses company data's geographic component. Data, particularly transactional data created by businesses, frequently has a geographical feature that, when presented in a geographic information system, enables additional dimensions of analysis and insights to be gained. This is especially the case when enterprises provide the data. The principle behind location analytics is a straightforward one. If you can see your data on a geographical map, you can obtain insight into it in a novel and more efficient way. For instance, if you look at the sales of a specific product over time and across various regions, you might notice that sales have been steadily increasing in one area while they have been steadily declining in another. You might observe this if you look at the sales of a particular product over time and across various regions. If you visualize this data geographically, you can see a connection between those two locations. You might then decide whether or not to delve more deeply into why these regions see distinct tendencies. Location analytics may be used for more than marketing and sales; it can also contribute to initiatives to prevent natural disasters. Take, for instance, the scenario where you are the owner of a building in a region that has a prior record of being impacted by flooding. Use location analytics to visually represent the flood risk your building faces over time. This would allow you to determine whether or not any parts of the structure have a higher-than-average risk of flooding and then make any required modifications. Or imagine that you work for the government. You might employ location analytics to display the parts of the globe that have historically been struck by earthquakes, allowing you to focus on quake prevention in those regions.