BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning product image in hero

BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning

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#
rating_score
review_count
last_review_date
days_from_last_review
existence_confidence_level
chain_name
number of bus stops in 5 min walk
number of bus stops in 50 m radius
number of bus stops in 100 m radius
number of bus stops in 200 m radius
distance to the nearest bus stop (in 500 m radius)
number of train stations in 5 min walk
number of train stations in 50 m radius
number of train stations in 100 m radius
number of train stations in 200 m radius
number of train stations in 300 m radius
number of train stations in 500 m radius
distance to the nearest train station (in 500 m radius)
number of metro stations in 5 min walk
number of metro stations in 50 m radius
number of metro stations in 100 m radius
number of metro stations in 200 m radius
number of metro stations in 300 m radius
number of metro stations in 500 m radius
distance to the nearest metro station (in 500 m radius)
number of restaurants in 5 min walk
number of restaurants in 50 m radius
number of restaurants in 100 m radius
number of restaurants in 200 m radius
number of restaurants in 300 m radius
number of restaurants in 500 m radius
distance to the nearest restaurant (in 500 m radius)
number of cafes in 5 min walk
number of cafes in 50 m radius
number of cafes in 100 m radius
number of cafes in 200 m radius
number of cafes in 300 m radius
number of cafes in 500 m radius
distance to the nearest cafe (in 500 m radius)
number of bars/pubs/clubs in 5 min walk
number of bars/pubs/clubs in 50 m radius
number of bars/pubs/clubs in 100 m radius
number of bars/pubs/clubs in 200 m radius
number of bars/pubs/clubs in 300 m radius
number of bars/pubs/clubs in 500 m radius
distance to the nearest bar/pub/club (in 500 m radius)
number of hotels in 5 min walk
number of hotels in 50 m radius
number of hotels in 100 m radius
number of hotels in 200 m radius
number of hotels in 300 m radius
number of hotels in 500 m radius
distance to the nearest hotel (in 500 m radius)
number of hostels in 5 min walk
number of hostels in 50 m radius
number of hostels in 100 m radius
number of hostels in 200 m radius
number of hostels in 300 m radius
number of hostels in 500 m radius
distance to the nearest hostel (in 500 m radius)
number of malls in 5 min walk
number of malls in 50 m radius
number of malls in 100 m radius
number of malls in 200 m radius
number of malls in 300 m radius
number of malls in 500 m radius
distance to the nearest mall (in 500 m radius)
number of business centers in 5 min walk
number of business centers in 50 m radius
number of business centers in 100 m radius
number of business centers in 200 m radius
number of business centers in 300 m radius
number of business centers in 500 m radius
distance to the nearest business center (in 500 m radius)
number of fitness/gyms in 5 min walk
number of fitness/gyms in 50 m radius
number of fitness/gyms in 100 m radius
number of fitness/gyms in 200 m radius
number of fitness/gyms in 300 m radius
number of fitness/gyms in 500 m radius
distance to the nearest fitness/gym (in 500 m radius)
number of swimming pools in 5 min walk
number of swimming pools in 50 m radius
number of swimming pools in 100 m radius
number of swimming pools in 200 m radius
number of swimming pools in 300 m radius
number of swimming pools in 500 m radius
distance to the nearest swimming pool (in 500 m radius)
number of stadiums in 5 min walk
number of stadiums in 50 m radius
number of stadiums in 100 m radius
number of stadiums in 200 m radius
number of stadiums in 300 m radius
number of stadiums in 500 m radius
distance to the nearest stadium (in 500 m radius)
number of parks in 5 min walk
number of parks in 50 m radius
number of parks in 100 m radius
number of parks in 200 m radius
number of parks in 300 m radius
number of parks in 500 m radius
distance to the nearest park (in 500 m radius)
number of beachs in 5 min walk
number of beachs in 50 m radius
number of beachs in 100 m radius
number of beachs in 200 m radius
number of beachs in 300 m radius
number of beachs in 500 m radius
distance to the nearest beach (in 500 m radius)
number of SPA in 5 min walk
number of SPA in 50 m radius
number of SPA in 100 m radius
number of SPA in 200 m radius
number of SPA in 300 m radius
number of SPA in 500 m radius
distance to the nearest SPA (in 500 m radius)
number of wellness centers in 5 min walk
number of wellness centers in 50 m radius
number of wellness centers in 100 m radius
number of wellness centers in 200 m radius
number of wellness centers in 300 m radius
number of wellness centers in 500 m radius
distance to the nearest wellness center (in 500 m radius)
number of cinemas in 5 min walk
number of cinemas in 50 m radius
number of cinemas in 100 m radius
number of cinemas in 200 m radius
number of cinemas in 300 m radius
number of cinemas in 500 m radius
distance to the nearest cinema (in 500 m radius)
number of universities in 5 min walk
number of universities in 50 m radius
number of universities in 100 m radius
number of universities in 200 m radius
number of universities in 300 m radius
number of universities in 500 m radius
distance to the nearest university (in 500 m radius)
number of schools/kindergartens in 5 min walk
number of schools/kindergartens in 50 m radius
number of schools/kindergartens in 100 m radius
number of schools/kindergartens in 200 m radius
number of schools/kindergartens in 300 m radius
number of schools/kindergartens in 500 m radius
distance to the nearest school/kindergarten (in 500 m radius)
number of households in 5 min walk
number of households in 50 m radius
number of households in 100 m radius
number of households in 200 m radius
number of households in 300 m radius
number of households in 500 m radius
maximum total footfall intensity in 30 m radius
maximum transport - office footfall intensity in 30 m radius
maximum transport - educational footfall intensity in 30 m radius
maximum transport - horeca footfall intensity in 30 m radius
maximum transport - foodstore footfall intensity in 30 m radius
maximum transport - sport footfall intensity in 30 m radius
maximum residential - transport footfall intensity in 30 m radius
maximum residential - office footfall intensity in 30 m radius
maximum residential - educational footfall intensity in 30 m radius
maximum residential - horeca footfall intensity in 30 m radius
maximum residential - foodstore footfall intensity in 30 m radius
maximum residential - sport footfall intensity in 30 m radius
maximum total footfall intensity in 50 m radius
maximum transport - office footfall intensity in 50 m radius
maximum transport - educational footfall intensity in 50 m radius
maximum transport - horeca footfall intensity in 50 m radius
maximum transport - foodstore footfall intensity in 50 m radius
maximum transport - sport footfall intensity in 50 m radius
maximum residential - transport footfall intensity in 50 m radius
maximum residential - office footfall intensity in 50 m radius
maximum residential - educational footfall intensity in 50 m radius
maximum residential - horeca footfall intensity in 50 m radius
maximum residential - foodstore footfall intensity in 50 m radius
maximum residential - sport footfall intensity in 50 m radius
unique_users_overall
unique_days_overall
mean_of_daily_unique_users
sum_of_daily_unique_users
sum_of_daily_unique_users_gte2
mean_of_daily_unique_users_gte2
sum_of_daily_unique_users_gte3
mean_of_daily_unique_users_gte3
sum_of_users_with_2_tracks_in_1_hours
mean_of_users_with_2_tracks_in_1_hours
sum_of_users_with_3_tracks_in_1_hours
mean_of_users_with_3_tracks_in_1_hours
sum_of_users_with_3_tracks_in_2_hours
mean_of_users_with_3_tracks_in_2_hours
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4 Xxxxx Xxxxxxxxx Xxxxxxxxx xxxxx xxxxxxxxxx xxxxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx Xxxxxx xxxxxxxx xxxxxx xxxxxxx Xxxxxxxxxx Xxxxxxxxx xxxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxx xxxxxx xxxxxxxxx xxxxxxx xxxxxx Xxxxxx xxxxxxxx xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxx xxxxxxx xxxxxxxxx xxxxxx Xxxxx Xxxxxx Xxxxxxxxxx xxxxx xxxxxxxx xxxxxxxx Xxxxx xxxxxxx xxxxxxx xxxxxxx xxxxxxxxxx xxxxx Xxxxxxx xxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxx Xxxxx Xxxxxxxxx Xxxxx xxxxxxx Xxxxxxx xxxxxxx xxxxx Xxxxxxxxx Xxxxxxx Xxxxxx Xxxxxx xxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxx xxxxx xxxxxxx Xxxxxxxx xxxxx Xxxxxxxx xxxxxx xxxxxxxxxx xxxxx xxxxxx xxxxxx Xxxxx Xxxxxx xxxxxxxxx Xxxxxxxxx Xxxxxx xxxxxxxx xxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxx xxxxxx Xxxxx xxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxx Xxxxxxx xxxxx xxxxxx xxxxxx xxxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxxxx xxxxxxx Xxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxxxx Xxxxxxxxxx xxxxx Xxxxxx Xxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxx Xxxxx Xxxxxx Xxxxxxxxx xxxxx xxxxxxxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxx Xxxxxx xxxxx Xxxxxxx Xxxxxx Xxxxxxxxx Xxxxx Xxxxxxx xxxxxx xxxxxx xxxxxxxxx xxxxx Xxxxxxx Xxxxxxxx xxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxx xxxxxx Xxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxx xxxxx Xxxxxxxxx xxxxx Xxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxxx Xxxxxxxxx Xxxxx xxxxxxxxx Xxxxx Xxxxx xxxxx xxxxxx xxxxxx xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx xxxxxxxx xxxxxxxxxx Xxxxxxx xxxxxx xxxxxxxx xxxxx xxxxxxxx xxxxx Xxxxx xxxxxx xxxxxxxxx Xxxxxxxx Xxxxxxxxx Xxxxx Xxxxx xxxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx xxxxxxx xxxxxx xxxxxx xxxxxxxxx Xxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx xxxxx
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7 xxxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxx xxxxxxxxx xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxx xxxxx Xxxxxxxx Xxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxxx xxxxxx Xxxxxx Xxxxxx xxxxxx Xxxxxxx xxxxxxxx xxxxx xxxxxxxxx xxxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxxxx xxxxxxx Xxxxxx xxxxx Xxxxx Xxxxxx Xxxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxx Xxxxx Xxxxxxx Xxxxxx Xxxxx xxxxx xxxxxx xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxxxx xxxxxx xxxxx xxxxxx xxxxx Xxxxxxxxxx Xxxxx Xxxxxxxxx Xxxxx xxxxxxx xxxxxx xxxxx xxxxxx Xxxxxxxx xxxxxxx Xxxxxxxxxx xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxxx xxxxxx Xxxxxx Xxxxxxxx xxxxx Xxxxxxxxx Xxxxxxx Xxxxxxxxxx xxxxx Xxxxxxxxx xxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxxx Xxxxxxxxx xxxxxxx xxxxx Xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxx xxxxxxxxxx Xxxxx xxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxx Xxxxx xxxxx xxxxxxxxx xxxxxx xxxxxxxxxx xxxxx Xxxxxxx Xxxxxxxx xxxxxx Xxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxx xxxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxxx xxxxx xxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx Xxxxxxxxxx xxxxx xxxxxxxx Xxxxxxx xxxxx xxxxxxxxxx Xxxxxx xxxxx Xxxxx xxxxxx Xxxxxxx Xxxxx xxxxxxxx xxxxxxxx xxxxxx Xxxxxxxx xxxxxx xxxxxx xxxxxxxx Xxxxx xxxxx Xxxxxxx xxxxx xxxxxxxxx xxxxx xxxxxxxxxx xxxxxxxx xxxxxx xxxxx Xxxxx Xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxxxxxx Xxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxx xxxxxxxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx Xxxxxxxx Xxxxxxxxxx Xxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxx xxxxx Xxxxx Xxxxxxxx xxxxx Xxxxxxxx Xxxxxx xxxxxxx Xxxxxxx xxxxxxxx xxxxxxxxx xxxxx xxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxxxxx xxxxxxxxxx Xxxxx xxxxxxxx xxxxxxxx xxxxxxxxxx Xxxxxxxxx
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Sign In To Preview Data
Volume
200
Sources of data
Data Quality
100%
Features
Avail. Formats
.json, .csv, and .xls
File
Coverage
114
Countries
History
1
years

Data Dictionary

[Sample] Germany_Stores_features_sample.csv
Attribute Type Example Mapping
Integer 1003445892 POI ID
String German post office POI Name
String ********** ***. #, ##### ***** Address
String ********** ***. # Address
Integer 31311 Postal Code
String Uetze City Name
Float 52.4830319999999 Latitude
Float 10.0938781 Longitude
String Post office POI Sub-category
String Post office POI Category
String Post office, Mailing service, Shipping and mailing servic... POI Category
rating_score
Float 3.5
review_count
Integer 26
String https://www.deutschepost.de/de/s/standorte.html?objectid=... Website
last_review_date
String 01/02/2022
days_from_last_review
Integer 295
existence_confidence_level
Float 0.4450000000000001
chain_name
String post
Float 8.5 POI Opening Hours
Float 12.5 POI Opening Hours
Float 14.5 POI Opening Hours
Float 18.0 POI Opening Hours
Float 8.5 POI Opening Hours
Float 12.5 POI Opening Hours
Float 14.5 POI Opening Hours
Float 18.0 POI Opening Hours
Float 8.5 POI Opening Hours
Float 12.5 POI Opening Hours
Float 14.5 POI Opening Hours
Float 18.0 POI Opening Hours
Float 8.5 POI Opening Hours
Float 12.5 POI Opening Hours
Float 14.5 POI Opening Hours
Float 18.0 POI Opening Hours
Float 8.5 POI Opening Hours
Float 12.5 POI Opening Hours
Float 14.5 POI Opening Hours
Float 18.0 POI Opening Hours
Float 8.5 POI Opening Hours
Float POI Opening Hours
Float POI Opening Hours
Float 12.5 POI Opening Hours
Float POI Opening Hours
Float POI Opening Hours
Float POI Opening Hours
Float POI Opening Hours
number of bus stops in 5 min walk
Integer 3
number of bus stops in 50 m radius
Integer 0
number of bus stops in 100 m radius
Integer 0
number of bus stops in 200 m radius
Integer 0
distance to the nearest bus stop (in 500 m radius)
Integer 219
number of train stations in 5 min walk
Integer 0
number of train stations in 50 m radius
Integer 0
number of train stations in 100 m radius
Integer 0
number of train stations in 200 m radius
Integer 0
number of train stations in 300 m radius
Integer 0
number of train stations in 500 m radius
Integer 0
distance to the nearest train station (in 500 m radius)
Integer 1000
number of metro stations in 5 min walk
Integer 0
number of metro stations in 50 m radius
Integer 0
number of metro stations in 100 m radius
Integer 0
number of metro stations in 200 m radius
Integer 0
number of metro stations in 300 m radius
Integer 0
number of metro stations in 500 m radius
Integer 0
distance to the nearest metro station (in 500 m radius)
Integer 1000
number of restaurants in 5 min walk
Integer 3
number of restaurants in 50 m radius
Integer 0
number of restaurants in 100 m radius
Integer 2
number of restaurants in 200 m radius
Integer 2
number of restaurants in 300 m radius
Integer 3
number of restaurants in 500 m radius
Integer 3
distance to the nearest restaurant (in 500 m radius)
Integer 96
number of cafes in 5 min walk
Integer 0
number of cafes in 50 m radius
Integer 0
number of cafes in 100 m radius
Integer 0
number of cafes in 200 m radius
Integer 0
number of cafes in 300 m radius
Integer 0
number of cafes in 500 m radius
Integer 0
distance to the nearest cafe (in 500 m radius)
Integer 1000
number of bars/pubs/clubs in 5 min walk
Integer 1
number of bars/pubs/clubs in 50 m radius
Integer 0
number of bars/pubs/clubs in 100 m radius
Integer 1
number of bars/pubs/clubs in 200 m radius
Integer 1
number of bars/pubs/clubs in 300 m radius
Integer 1
number of bars/pubs/clubs in 500 m radius
Integer 1
distance to the nearest bar/pub/club (in 500 m radius)
Integer 85
number of hotels in 5 min walk
Integer 1
number of hotels in 50 m radius
Integer 0
number of hotels in 100 m radius
Integer 0
number of hotels in 200 m radius
Integer 0
number of hotels in 300 m radius
Integer 1
number of hotels in 500 m radius
Integer 1
distance to the nearest hotel (in 500 m radius)
Integer 273
number of hostels in 5 min walk
Integer 0
number of hostels in 50 m radius
Integer 0
number of hostels in 100 m radius
Integer 0
number of hostels in 200 m radius
Integer 0
number of hostels in 300 m radius
Integer 0
number of hostels in 500 m radius
Integer 0
distance to the nearest hostel (in 500 m radius)
Integer 1000
number of malls in 5 min walk
Integer 0
number of malls in 50 m radius
Integer 0
number of malls in 100 m radius
Integer 0
number of malls in 200 m radius
Integer 0
number of malls in 300 m radius
Integer 0
number of malls in 500 m radius
Integer 0
distance to the nearest mall (in 500 m radius)
Integer 1000
number of business centers in 5 min walk
Integer 0
number of business centers in 50 m radius
Integer 0
number of business centers in 100 m radius
Integer 0
number of business centers in 200 m radius
Integer 0
number of business centers in 300 m radius
Integer 0
number of business centers in 500 m radius
Integer 0
distance to the nearest business center (in 500 m radius)
Integer 1000
number of fitness/gyms in 5 min walk
Integer 0
number of fitness/gyms in 50 m radius
Integer 0
number of fitness/gyms in 100 m radius
Integer 0
number of fitness/gyms in 200 m radius
Integer 0
number of fitness/gyms in 300 m radius
Integer 0
number of fitness/gyms in 500 m radius
Integer 2
distance to the nearest fitness/gym (in 500 m radius)
Integer 411
number of swimming pools in 5 min walk
Integer 0
number of swimming pools in 50 m radius
Integer 0
number of swimming pools in 100 m radius
Integer 0
number of swimming pools in 200 m radius
Integer 0
number of swimming pools in 300 m radius
Integer 0
number of swimming pools in 500 m radius
Integer 0
distance to the nearest swimming pool (in 500 m radius)
Integer 1000
number of stadiums in 5 min walk
Integer 0
number of stadiums in 50 m radius
Integer 0
number of stadiums in 100 m radius
Integer 0
number of stadiums in 200 m radius
Integer 0
number of stadiums in 300 m radius
Integer 0
number of stadiums in 500 m radius
Integer 0
distance to the nearest stadium (in 500 m radius)
Integer 1000
number of parks in 5 min walk
Integer 0
number of parks in 50 m radius
Integer 0
number of parks in 100 m radius
Integer 0
number of parks in 200 m radius
Integer 0
number of parks in 300 m radius
Integer 0
number of parks in 500 m radius
Integer 0
distance to the nearest park (in 500 m radius)
Integer 1000
number of beachs in 5 min walk
Integer 0
number of beachs in 50 m radius
Integer 0
number of beachs in 100 m radius
Integer 0
number of beachs in 200 m radius
Integer 0
number of beachs in 300 m radius
Integer 0
number of beachs in 500 m radius
Integer 0
distance to the nearest beach (in 500 m radius)
Integer 1000
number of SPA in 5 min walk
Integer 0
number of SPA in 50 m radius
Integer 0
number of SPA in 100 m radius
Integer 0
number of SPA in 200 m radius
Integer 0
number of SPA in 300 m radius
Integer 0
number of SPA in 500 m radius
Integer 0
distance to the nearest SPA (in 500 m radius)
Integer 1000
number of wellness centers in 5 min walk
Integer 0
number of wellness centers in 50 m radius
Integer 0
number of wellness centers in 100 m radius
Integer 0
number of wellness centers in 200 m radius
Integer 0
number of wellness centers in 300 m radius
Integer 0
number of wellness centers in 500 m radius
Integer 0
distance to the nearest wellness center (in 500 m radius)
Integer 1000
number of cinemas in 5 min walk
Integer 0
number of cinemas in 50 m radius
Integer 0
number of cinemas in 100 m radius
Integer 0
number of cinemas in 200 m radius
Integer 0
number of cinemas in 300 m radius
Integer 0
number of cinemas in 500 m radius
Integer 0
distance to the nearest cinema (in 500 m radius)
Integer 1000
number of universities in 5 min walk
Integer 0
number of universities in 50 m radius
Integer 0
number of universities in 100 m radius
Integer 0
number of universities in 200 m radius
Integer 0
number of universities in 300 m radius
Integer 0
number of universities in 500 m radius
Integer 0
distance to the nearest university (in 500 m radius)
Integer 1000
number of schools/kindergartens in 5 min walk
Integer 0
number of schools/kindergartens in 50 m radius
Integer 0
number of schools/kindergartens in 100 m radius
Integer 0
number of schools/kindergartens in 200 m radius
Integer 0
number of schools/kindergartens in 300 m radius
Integer 0
number of schools/kindergartens in 500 m radius
Integer 3
distance to the nearest school/kindergarten (in 500 m radius)
Integer 363
number of households in 5 min walk
Float 593.0
number of households in 50 m radius
Float 23.0
number of households in 100 m radius
Float 92.0
number of households in 200 m radius
Float 312.0
number of households in 300 m radius
Integer 698
number of households in 500 m radius
Integer 1631
maximum total footfall intensity in 30 m radius
Float 366.0
maximum transport - office footfall intensity in 30 m radius
Float 0.0
maximum transport - educational footfall intensity in 30 m radius
Float 0.0
maximum transport - horeca footfall intensity in 30 m radius
Float 0.0
maximum transport - foodstore footfall intensity in 30 m radius
Float 0.0
maximum transport - sport footfall intensity in 30 m radius
Float 276.0
maximum residential - transport footfall intensity in 30 m radius
Float 14.0
maximum residential - office footfall intensity in 30 m radius
Float 0.0
maximum residential - educational footfall intensity in 30 m radius
Float 30.0
maximum residential - horeca footfall intensity in 30 m radius
Float 0.0
maximum residential - foodstore footfall intensity in 30 m radius
Float 48.0
maximum residential - sport footfall intensity in 30 m radius
Float 0.0
maximum total footfall intensity in 50 m radius
Float 572.0
maximum transport - office footfall intensity in 50 m radius
Float 0.0
maximum transport - educational footfall intensity in 50 m radius
Float 0.0
maximum transport - horeca footfall intensity in 50 m radius
Float 0.0
maximum transport - foodstore footfall intensity in 50 m radius
Float 0.0
maximum transport - sport footfall intensity in 50 m radius
Float 276.0
maximum residential - transport footfall intensity in 50 m radius
Float 30.0
maximum residential - office footfall intensity in 50 m radius
Float 0.0
maximum residential - educational footfall intensity in 50 m radius
Float 40.0
maximum residential - horeca footfall intensity in 50 m radius
Float 118.0
maximum residential - foodstore footfall intensity in 50 m radius
Float 210.0
maximum residential - sport footfall intensity in 50 m radius
Float 14.0
unique_users_overall
Integer 811
unique_days_overall
Integer 334
mean_of_daily_unique_users
Float 5.473972602739726
sum_of_daily_unique_users
Integer 1998
sum_of_daily_unique_users_gte2
Integer 633
mean_of_daily_unique_users_gte2
Float 1.734246575342466
sum_of_daily_unique_users_gte3
Integer 415
mean_of_daily_unique_users_gte3
Float 1.136986301369863
sum_of_users_with_2_tracks_in_1_hours
Integer 581
mean_of_users_with_2_tracks_in_1_hours
Float 1.591780821917808
sum_of_users_with_3_tracks_in_1_hours
Integer 384
mean_of_users_with_3_tracks_in_1_hours
Float 1.052054794520548
sum_of_users_with_3_tracks_in_2_hours
Integer 389
mean_of_users_with_3_tracks_in_2_hours
Float 1.065753424657534

Description

Discover BestPlace, the tool for retail data analytics, CPG and FMCG insights, and GIS datasets. Dive into shopping behavior analysis, foot traffic statistics, and POI data collection. Access retail databases, census data sets, and GIS data sources. Elevate your retail and geographic intelligence.
BestPlace is an innovative retail data and analytics tool created explicitly for medium and enterprise-level CPG/FMCG companies. It's designed to revolutionize your retail data analysis approach by adding a strategic location-based perspective to your existing database. This perspective enriches your data landscape and allows your business to understand better and cater to shopping behavior. An In-Depth Approach to Retail Analytics Unlike conventional analytics tools, BestPlace delves deep into each store location details, providing a comprehensive analysis of your retail database. We leverage unique tools and methodologies to extract, analyze, and compile data. Our processes have been accurately designed to provide a holistic view of your business, equipping you with the information you need to make data-driven data-backed decisions. Amplifying Your Database with BestPlace At BestPlace, we understand the importance of a robust and informative retail database design. We don't just add new stores to your database; we enrich each store with vital characteristics and factors. These enhancements come from open cartographic sources such as Google Maps and our proprietary GIS database, all carefully collected and curated by our experienced data analysts. Store Features We enrich your retail database with an array of store features, which include but are not limited to: Number of reviews Average ratings Operational hours Categories relevant to each point Our attention to detail ensures your retail database becomes a powerful tool for understanding customer interactions and preferences. Geo-Analytical Factors Each store in your database is further enhanced with geo-analytical data. We analyze: Maximum pedestrian and vehicle traffic within a defined radius Number of households and average income within the catchment area vicinity Number of schools, hospitals, universities, competitors, stores, bars, clubs, and restaurants in the surrounding area Point attendance based on mobile device location data (ensuring GDPR compliance) Our refined retail data collection and analysis provides detailed shopping behavior insights, leading to in-depth shopper analytics and retail foot traffic data that support strategic planning and execution. The Power of Points of Interest (POI) Data At BestPlace, we harness the power of Point of Interest (POI) data (to bring you the most complete retail data set.) to bring your retail data to life. Our POI data collection process involves analyzing and categorizing foot traffic data, providing a comprehensive foot traffic dataset as a result. This data allows you to understand the ebb and flow of individuals around your store locations, suggesting invaluable insights for strategic planning and operational efficiency. Leveraging GIS Data Our GIS data collection process is meticulous and comprehensive. We tap into multiple GIS data sources, providing a wealth of data to enhance your retail analytics. This process allows us to equip your database with a broad range of geospatial features, including demographic and socioeconomic information from various census data for GIS applications. By including GIS data in your analysis, you gain a multi-dimensional perspective of your retail landscape, allowing for more strategic decision-making. The Advantages of Census Data BestPlace grants you direct access to a wealth of census data sets. This transforms your retail database into a more potent tool for decision-making, providing a deeper understanding of the demographics and socioeconomic factors surrounding your store locations. With the ability to download census data directly, you can enrich your retail data analysis with valuable insights about potential customers, giving you the upper hand in your strategic planning. Extensive Use Cases BestPlace's capabilities stretch across various applications, offering value in areas such as: Competition Analysis: Identify your competitors, analyze their performance, and understand your standing in the market with our extensive POI database and retail data analytics capabilities. New Location Search: Use our rich retail store database to identify ideal locations for store expansions based on foot traffic data, proximity to key points, and potential customer demographics. Location Comparison: Compare multiple store locations based on numerous factors and make informed decisions about where to focus your resources. Distribution Optimization: Leverage our FMCG data analytics and retail traffic analytics to optimize your distribution strategy and maximize ROI. Building Machine Learning Models: Integrate our all-purpose machine learning models into your business decision processes to enable more efficient and effective decision-making. (Integrate our all-purpose machine learning models to build your own in-house solutions with the help of our data.) Comprehensive Deliverables As a BestPlace client, you receive a comprehensive product delivery, including: Generic Location Information: Address, latitude, longitude, and more. POI Information: Detailed information about points of interest, including name, ratings, working hours, website, and more. Census Data: Detailed demographic and socioeconomic data, such as the number of households and average income in the area. Geospatial Features: An array of geospatial data, including the number of competitors, POI number by category, distance to key points in the surrounding area, and more. Footfall and Transport Intensity Data: In-depth insights into foot traffic, including classifications by destination – office workers, students, shoppers, etc. Visitation Index: Detailed measurements based on our extensive foot traffic dataset, providing insights into store attendance patterns. When you choose BestPlace, you're choosing a partner committed to equipping your business with (valuable) the best in retail data, POI, GIS, and census data analytics. Take your business to new heights with the unique unparalleled insights provided by BestPlace.

Country Coverage

Africa (10)
Algeria
Cameroon
Congo
Côte d'Ivoire
Egypt
Mauritius
Morocco
Nigeria
South Africa
Tunisia
Asia (35)
Armenia
Azerbaijan
Bahrain
Bangladesh
Cambodia
Cyprus
Georgia
Hong Kong
India
Indonesia
Israel
Japan
Jordan
Kazakhstan
Korea (Republic of)
Kuwait
Kyrgyzstan
Lebanon
Malaysia
Mongolia
Oman
Pakistan
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Taiwan
Tajikistan
Thailand
Turkey
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe (49)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
United Kingdom
Åland Islands
North America (6)
Canada
Costa Rica
Mexico
Nicaragua
Panama
United States of America
Oceania (2)
Australia
New Zealand
South America (12)
Argentina
Bolivia (Plurinational State of)
Brazil
Chile
Colombia
Ecuador
Jamaica
Paraguay
Peru
Puerto Rico
Uruguay
Venezuela (Bolivarian Republic of)

History

1 years of historical data

Volume

200 Sources of data
50 Million POI
150 Categories

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
100%
Features

Delivery

Methods
S3 Bucket
Email
UI Export
Frequency
monthly
quarterly
yearly
on-demand
Format
.json
.csv
.xls
.txt

Use Cases

Machine Learning (ML)
Market Potential Analysis
Data-Efficient Machine Learning
Company Data Enrichment
POI Enrichment

Categories

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80% match rate
249 countries covered
Reach out for GIS Data, Places Data, and Store Location Data! Unlock unparalleled insights with our Business Location Data. Explore Aggregated Point of Inter...

Frequently asked questions

What is BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?

Discover BestPlace, the tool for retail data analytics, CPG and FMCG insights, and GIS datasets. Dive into shopping behavior analysis, foot traffic statistics, and POI data collection. Access retail databases, census data sets, and GIS data sources. Elevate your retail and geographic intelligence.

What is BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning used for?

This product has 5 key use cases. BestPlace recommends using the data for Machine Learning (ML), Market Potential Analysis, Data-Efficient Machine Learning, Company Data Enrichment, and POI Enrichment. Global businesses and organizations buy Point of Interest (POI) Data from BestPlace to fuel their analytics and enrichment.

Who can use BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?

This product is best suited if you’re a Medium-sized Business or Enterprise looking for Point of Interest (POI) Data. Get in touch with BestPlace to see what their data can do for your business and find out which integrations they provide.

How far back does the data in BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning go?

This product has 1 years of historical coverage. It can be delivered on a monthly, quarterly, yearly, and on-demand basis.

Which countries does BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning cover?

This product includes data covering 114 countries like USA, Japan, Germany, India, and United Kingdom. BestPlace is headquartered in United States of America.

How much does BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning cost?

Pricing information for BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning is available by getting in contact with BestPlace. Connect with BestPlace to get a quote and arrange custom pricing models based on your data requirements.

How can I get BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?

Businesses can buy Point of Interest (POI) Data from BestPlace and get the data via S3 Bucket, Email, and UI Export. Depending on your data requirements and subscription budget, BestPlace can deliver this product in .json, .csv, .xls, and .txt format.

What is the data quality of BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?

BestPlace has reported that this product has the following quality and accuracy assurances: 100% Features. You can compare and assess the data quality of BestPlace using Datarade’s data marketplace.

What are similar products to BestPlace: Retail and GIS Data Analytics, POI Database Solutions for CPG & FMCG, Feature Enrichment for Machine Learning?

This product has 3 related products. These alternatives include Grepsr Point of Interest (POI Data), Geospatial, Review, Rating, Business Opening Hours Global Coverage with Custom and On demand datasets, Factori AI & ML Training Data Point of Interest Data (POI) Global Machine Learning Data, and Global Independent & Multi-National Retail Location Data. You can compare the best Point of Interest (POI) Data providers and products via Datarade’s data marketplace and get the right data for your use case.

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