PREDIK Data-Driven I Point of Interest (POI) Data + Foot Traffic Data I +200 Data Variables for the Mexican Market

- Use it for different applications: Our combined dataset, which includes POI and foot traffic data, can be employed for various purposes. Different data teams use it to guide retailers and FMCG brands in site selection, fuel marketing intelligence, analyze trade areas, and assess company risk. Our dataset has also proven to be useful to explore the Mexican real estate market. - Get reliable data: Our datasets have been processed, enriched, and tested so your data team can use them more quickly and accurately. - Ideal for trainning ML models. The high quality of our geographic information layers results from more than seven years of work dedicated to the deep understanding and modeling of geospatial Big Data. Among the features that distinguished this dataset is the use of anonymized and user-compliant mobile device GPS location, enriched with other alternative and public data. - Easy to use: Our dataset is user-friendly and can be easily integrated to your current models. Also, we can deliver your data in different formats, like .csv, according to your analysis requirements. - Get personalized guidance: In addition to providing reliable datasets, we advise your analysts on their correct implementation. Our data scientists can guide your internal team on the optimal algorithms and models to get the most out of the information we provide (without compromising the security of your internal data). Answer questions like: - What places does my target user visit in a particular area? Which are the best areas to place a new POS? - What are the expending habits of users in a particular area? - What socioeconomic characteristics do the people who travel in a particular area have? - What is the volume of traffic surrounding my current POS? - What is the influx of visits that my competition receives? This dataset is useful for getting insights from industries like: - Retail & FMCG - Banking, Finance, and Investment - Car Dealerships - Real Estate - Convenience Stores - Pharma and medical laboratories - Restaurant chains and franchises - Clothing chains and franchises Our dataset includes more than 200 variables, such as: - Number of users that stays in a specific quadrant. - Resident population. - Food spending. - Spending on arts and recreation. It also includes data from the "ENOE" (National Occupation and Employment Survey) and the "DENUE" (National Statistical Directory of Economic Units), such as: - Percentage of married users - Average scholar grade - Percentage of locations related to agriculture/ manufacturing/ financial services/ wholesale trade of groceries and food (Among others). - Percentage of users within a specific socio-economic segment. - Population segmented by age gap (Example, users from 15 to 29 years old). How efficient is a Geohash? Geohash is a faster, cost-effective geofencing option that reduces input data load and provides actionable information. Its benefits include faster querying, reduced cost, minimal configuration, and ease of use. Geohash ranges from 1 to 12 characters. The dataset can be split into variable-size geohashes, with the default being geohash7 (150m x 150m). Why should you trust PREDIK Data-Driven as your data provider? In 2023, we were listed as Datarade's top providers. Why? Our solutions adapt according to the specific needs of companies. Also, PREDIK methodology focuses on the client and the necessary elements for the success of their projects.

搜集汇总

背景与挑战

背景概述

该数据集提供墨西哥市场的POI和客流量数据，包含超过200个变量，适用于零售、房地产等多个行业的选址分析和风险评估。数据经过处理，易于集成并支持机器学习模型训练，同时提供专业指导以优化使用效果。