Foot traffic data consists of spatial data (GIS), and is at the core of building intelligent strategies, transportation routes, processes and decision making in both public and private sectors.
Tuesday, September 7, 2021
What is it?
Foot traffic data associates people's movements with physical locations, and can be collected in different ways, such as WiFi signals, GPS from mobile devices and sensors, providing useful information for sectors like retail, real estate, agriculture, financial services, insurance, tourism, sports, entertainment, among others.
Regardless of the type of Foot traffic data chosen, incorporating it into an analysis gives a deeper insight into who is going where and when.
This data is anonymized and can be combined with demographic data such as age, income, socioeconomic status, voting patterns, preferences, without compromising people's personal information .
Uses and types of pedestrian traffic data
Analyzing mobility patterns is essential to perfect the design of a business, classify customers, identify demographic data of an area, optimize marketing efforts, determine the best locations to establish new stores (site location), among many others.
Heat maps are used by retail giants to understand pedestrian and vehicular mobility patterns and thereby optimize their strategies for opening new points of sale.
At PREDIK Data-Drivenwe support global corporations in implementing a variety of expansion planning solutions.
The heat map is one of the most useful and powerful data analysis tools in business intelligence. It provides a visualization feature that presents multiple pieces of data in a way that makes immediate sense by assigning a different size and color.
New geographic information systems (GIS) allow us to see our complex world in a new way. With the right data sets, heat maps can be produced that show how different factors vary from one area to another. In recent years, several organizations have developed dynamic mapping systems that allow users to choose areas, data layers, filters, and presentation features. Read the complete article here
POI analytics through Big Data techniques allows companies to understand an area of interest and thereby implement strategies, expansion models, and solutions within any business sector.
Information about a specific location or a set of similar locations can help companies make better decisions.
In order to identify the optimal place to establish a new business, for example, an educational center, it's vital to resort to geolocation analytics and mobility analysis.
Through location intelligence solutions, it's possible to determine one or more areas where you want to establish an educational center, while mobility analysis and behavioral patterns can identify the factors that can maximize its success.
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