Echo Analytics | POI & Building Footprint Data | 14.5M+ Locations in the US
# | echo_poi_id |
poi_name |
brand |
tier1_category |
tier2_category |
business_status |
geo_h3_id_level_10 |
parent_organization |
opening_hours |
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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
echo_poi_id
|
String | 11ac79fe-c88d-4dc7-a648-35dac11eea57-6b445669-eeed-4ab1-8... | |
poi_name
|
String | Burger King | |
brand
|
String | BURGER KING | |
tier1_category
|
String | food and dining | |
tier2_category
|
String | casual dining | |
business_status
|
String | NA | |
String | Address | ||
String | US | Country Code Alpha-2 | |
Float | 37.3954448 | Latitude | |
Float | -122.0294045 | Longitude | |
geo_h3_id_level_10
|
String | 8a2834708667fff | |
parent_organization
|
String | Restaurant Brands International Inc | |
String | TSE: QSR | Stock Ticker | |
opening_hours
|
String | {"Tuesday": [{"from": "05:30 AM", "to": "11:00 PM"}], "We... | |
String | Phone Number | ||
String | https://burgerking.com/store-locator/store/restaurant_6232 | Website | |
echo_building_id
|
String | NA | |
building_type
|
String | NA | |
building_name
|
String | NA | |
shape_type
|
String | polygon | |
shape_polygon
|
String | POLYGON((-122.029528 37.3954202, -122.0294357 37.3954001,... |
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Carrefour Express | POI Name | |
String | Address | ||
String | 41.22/20.75 | Latitude-Longitude | |
Building Name
|
Example | ||
Shape Type
|
Example | ||
Shape Polygons
|
Example | ||
String | Example | Brand Name | |
Tier 1 Category
|
Example | ||
Tier 2 Category
|
Example | ||
Location Status
|
Example | ||
String | 75017 | Postal Code | |
String | Example | City Name | |
String | Example | Country Code Alpha-2 | |
Geo H3 Area ID
|
Example | ||
Last Updated Date
|
Example | ||
String | Example | Organization Name | |
String | Adidas AG = ETR:ADS | Stock Ticker | |
Text | Example | POI Opening Hours | |
String | Phone Number | ||
String | Example | Website | |
Building Type
|
Example | ||
Building Name
|
Example | ||
Shape Type
|
Polygon | ||
Shape Polygons
|
Example |
Description
Country Coverage
Volume
7 | Million |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Echo Analytics POI & Building Footprint Data 14.5M+ Locations in the US?
This product combines POI data with Building Footprints, providing companies with core information of any physical location, as well as a clear picture on the boundary of such locations. This allows for a more accurate Area Analysis, by depicting the exact shape and size of POIs.
What is Echo Analytics POI & Building Footprint Data 14.5M+ Locations in the US used for?
This product has 5 key use cases. Echo Analytics recommends using the data for Data Enrichment, Retail Site Selection, Competitive Intelligence, Point of Interest (POI) Mapping, and Catchment Area Analysis. 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 14.5M+ Locations in the US?
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 14.5M+ Locations in the US cover?
This product includes data covering 1 country like USA. Echo Analytics is headquartered in France.
How much does Echo Analytics POI & Building Footprint Data 14.5M+ Locations in the US cost?
Pricing information for Echo Analytics POI & Building Footprint Data 14.5M+ Locations in the US 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 14.5M+ Locations in the US?
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 14.5M+ Locations in the US?
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 14.5M+ Locations in the US?
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, GapMaps Premium Point of Interest (POI) Data India Point of Interest (POI) for Leading Retail Brands Monthly Tracking, and Xtract.io -Locations data Point-of-Interest (POI) Data All McDonald’s Fast-food restaurant store locations in US and Canada. You can compare the best Location Data providers and products via Datarade’s data marketplace and get the right data for your use case.