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Echo Analytics | POI & Building Footprint Data | 38.8M+ Locations ...
Echo Analytics | POI & Building Footprint Data | 38.8M+ Locations | US, Fran...
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Echo Analytics | POI & Building Footprint Data | 38.8M+ Locations | US, France, UK, Germany, Spain & Italy product image in hero

Echo Analytics | POI & Building Footprint Data | 38.8M+ Locations | US, France, UK, Germany, Spain & Italy

Echo Analytics
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Data Samples
POI & Building Footprint Data Sample | 12M+ Locations | USA, France, UK, Germany, Spain & Italy.csv
#
echo_poi_id
poi_name
brand
tier1_category
tier2_category
business_status
street_address
country_code
latitude
longitude
geo_h3_id_level_10
parent_organization
stock_ticker
opening_hours
phone_number
website
echo_building_id
building_type
building_name
shape_type
shape_polygon
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx
2 Xxxxxx xxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx
3 xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxxx Xxxxxxxxxx
4 Xxxxxx Xxxxxxxxx xxxxx xxxxxxx xxxxxxxxx Xxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxxx xxxxxxxxx Xxxxx xxxxxxxx Xxxxxxx xxxxxxxxx Xxxxxxx xxxxx Xxxxxxx xxxxxxx Xxxxx xxxxxxxxxx Xxxxxxx
5 Xxxxx xxxxxxxxxx Xxxxxx xxxxxx Xxxxxxxxx xxxxx Xxxxxxxxxx xxxxxx xxxxx xxxxxxxx Xxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxxx xxxxxxxx xxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx xxxxx
6 xxxxxxxx xxxxxx Xxxxxxxxxx xxxxxxxxxx Xxxxx xxxxxxx Xxxxxxxx Xxxxxxx xxxxx xxxxxxxx xxxxxxxxxx Xxxxxx xxxxxxxxx Xxxxx xxxxx xxxxxxxxx xxxxxxx Xxxxxxxxx Xxxxxxx xxxxxxxxxx Xxxxx
7 xxxxxxxxx xxxxxxx Xxxxxx xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxx Xxxxxxxx xxxxxxxx Xxxxxxxx Xxxxxxxx xxxxxxxx xxxxxxxxx Xxxxxxx Xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx xxxxxxxxxx xxxxxx Xxxxx
8 Xxxxxxx Xxxxx Xxxxxx Xxxxx Xxxxxxxxx xxxxxx xxxxxxxx Xxxxxxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxx Xxxxxxx xxxxxxxxx Xxxxx xxxxx Xxxxxx xxxxxxxxx xxxxxxx xxxxxxxxx Xxxxxxxxxx
9 xxxxxxxxx Xxxxx Xxxxx Xxxxxxxxx xxxxxxxxxx xxxxxx xxxxxxxxx xxxxxxx Xxxxxxx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxx Xxxxxxxxx xxxxx Xxxxxxx xxxxxxxxxx Xxxxxxxxx Xxxxxxxx xxxxxxxxxx xxxxxxx Xxxxxxxx
10 xxxxx Xxxxxx xxxxxx xxxxxxxx xxxxxxx Xxxxx Xxxxxxxxx Xxxxx Xxxxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx xxxxx Xxxxxxxxxx Xxxxxxx xxxxxxxxx xxxxxxx xxxxxxxxxx xxxxxx xxxxx Xxxxxxxxxx
... Xxxxxxxxx xxxxxxx Xxxxxx Xxxxx Xxxxxxxx xxxxxxxxx xxxxxxxx Xxxxxx xxxxxxxxxx xxxxxxxxx xxxxx Xxxxx xxxxxxx xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxxxx Xxxxxxxx xxxxx xxxxx Xxxxxxxxxx
Sign In To Preview Data
POI & Building Footprint Data Sample | 12M+ Locations | USA, France, UK, Germany, Spain & Italy.csv
Avail. Formats
.json, .csv, and .xls
File
Coverage
6
Countries

Data Dictionary

[Sample] POI & Building Footprint Data Sample | 12M+ Locations | USA, France, UK, Germany, Spain & Italy.csv
Attribute Type Example Mapping
echo_poi_id
 String 5c493f1b-bfd0-429e-9eea-f94a0b135207-b1a68c91-8665-459a-a...
poi_name
 String Burger King Piding
brand
 String BURGER KING
tier1_category
 String food and dining
tier2_category
 String casual dining
business_status
 String NA
street_address
 String **************ß* ##, ##### ******, ******* Address
country_code
 String DE Country Code Alpha-2
latitude
 Float 47.7643776 Latitude
longitude
 Float 12.9043962 Longitude
geo_h3_id_level_10
 String 8a1f89a86347fff
parent_organization
 String Restaurant Brands International Inc
stock_ticker
 String TSE: QSR Stock Ticker
opening_hours
 String {"Tuesday": [{"from": "10:00 AM", "to": "10:00 PM"}], "We...
phone_number
 String +## #### ##### Phone Number
website
 String http://www.burgerking.de/ Website
echo_building_id
 String NA
building_type
 String NA
building_name
 String NA
shape_type
 String polygon
shape_polygon
 String POLYGON((12.9044903 47.7644402, 12.9043723 47.7643499, 12...
Product Attributes
Attribute Type Example Mapping
POI Name
 String Carrefour Express POI Name
Address
 String ### *** *****-*****é Address
Lat/Long
 String 41.22/20.75 Latitude-Longitude
Building Name
 Example
Shape Type
 Example
Shape Polygons
 Example
Brand Name
 String Example Brand Name
Tier 1 Category
 Example
Tier 2 Category
 Example
Location Status
 Example
Postal code
 String Example Postal Code
City
 String Example City Name
Country Code
 String Example Country Code Alpha-2
Geo H3 Area ID
 Example
Last Updated Date
 Example
Parent Organization
 String Example Organization Name
Stock Ticker
 String Example Stock Ticker
Opening Hours
 Text Example POI Opening Hours
Phone Number
 String ******* Phone Number
Website
 String Example Website
Building Type
 Example
Building Name
 Example
Shape Type
 Example
Shape Polygons
 Example

Description

Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings. It includes very detailed insights into the Building Type, Name, Shape, and more. When combined with POI or Mobility data, it allows for a more accurate representation of an area.
Thanks to our expertise, Echo’s Building Footprint datasets have been built to ensure ongoing accuracy & precision. We use satellite imagery, machine learning & human verification, to define the most precise boundaries of any location (stores, landmarks, amenities, offices, etc.) and build polygon-based geofences around 25.7M+ locations in Europe & USA By doing so, it is possible to identify the precise footprints so companies can benefit from an accurate spatial analysis of countries, cities, or even local neighbourhoods. With Echo's Building Footprint data it is possible to: - Build location-based strategies fast - Increase the accuracy of Foot Traffic data - Pinpoint locations for highly precise Mapping - Improve Site Selection processes Clients using this dataset are commonly from: - Commercial Real Estate & PropTech - Retail - Investment Banking

Country Coverage

Europe (5)
France
Germany
Italy
Spain
United Kingdom
North America (1)
United States of America

Pricing

Free sample available
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available
Request detailed pricing

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
Frequency
monthly
quarterly
on-demand
Format
.json
.csv
.xls

Use Cases

Categories

Related Searches

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Frequently asked questions

What is Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?

Building Footprint data is based on ‘polygon geofences’ that define the boundaries of buildings. It includes very detailed insights into the Building Type, Name, Shape, and more. When combined with POI or Mobility data, it allows for a more accurate representation of an area.

What is Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy used for?

This product has 5 key use cases. Echo Analytics recommends using the data for Data Enrichment, Visit Attribution, Urban Planning, Point of Interest (POI) Mapping, and Site Selection. Global businesses and organizations buy Location Data from Echo Analytics to fuel their analytics and enrichment.

Who can use Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?

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

Which countries does Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy cover?

This product includes data covering 6 countries like USA, Germany, United Kingdom, France, and Italy. Echo Analytics is headquartered in France.

How much does Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy cost?

Pricing information for Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy is available by getting in contact with Echo Analytics. Connect with Echo Analytics to get a quote and arrange custom pricing models based on your data requirements.

How can I get Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?

Businesses can buy Location Data from Echo Analytics and get the data via S3 Bucket, SFTP, and Email. Depending on your data requirements and subscription budget, Echo Analytics can deliver this product in .json, .csv, and .xls format.

What is the data quality of Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?

You can compare and assess the data quality of Echo Analytics using Datarade’s data marketplace. Echo Analytics has received 3 reviews from clients. Echo Analytics appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? August Edition.

What are similar products to Echo Analytics POI & Building Footprint Data 38.8M+ Locations US, France, UK, Germany, Spain & Italy?

This product has 3 related products. These alternatives include Echo Analytics POI & Building Footprint Data 11M+ Locations in UK, France, Italy, Germany & Spain Point of Interest Data, Address Data Address Dataset for 52M+ locations SafeGraph Places, and Xtract.io - Point-of-Interest (POI) Data Locations data Top Cannabis Store locations in US. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available

Echo Analytics

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