PTV Points of Sale database Germany | POS data (retail, banking and insurance, etc.)
# | id |
pos_category |
co_brand |
co_name |
co_street |
co_zip |
co_city |
co_state |
co_country |
co_phone |
co_phone_norm |
co_fax |
co_fax_norm |
co_email |
co_email_norm |
co_url |
co_url_norm |
monday_open |
monday_close |
tuesday_open |
tuesday_close |
wednesday_open |
wednesday_close |
thursday_open |
thursday_close |
friday_open |
friday_close |
saturday_open |
saturday_close |
sunday_open |
sunday_close |
production_date |
gco_level |
gco_xkoord |
gco_ykoord |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx |
2 | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx |
3 | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx |
4 | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx |
5 | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx |
6 | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx |
7 | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx |
8 | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx |
9 | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx |
10 | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx |
... | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
id
|
Integer | 202556 | |
pos_category
|
String | Bau- & Freizeitmärkte | |
co_brand
|
String | BayWa | |
co_name
|
String | BayWa Baustoffe München-Moosfeld | |
co_street
|
String | Martin-Kollar-Str. 8 | |
co_zip
|
Integer | 81829 | |
co_city
|
String | München | |
co_state
|
|||
co_country
|
String | DE | |
co_phone
|
String | +49 89 4209090 | |
co_phone_norm
|
String | 49,89,4209090, | |
co_fax
|
|||
co_fax_norm
|
|||
co_email
|
String | Moosfeld@baywa-baustoffe.de | |
co_email_norm
|
String | baustoffe.muenchen-moosfeld@baywa.de | |
co_url
|
|||
co_url_norm
|
|||
monday_open
|
|||
monday_close
|
|||
tuesday_open
|
|||
tuesday_close
|
|||
wednesday_open
|
|||
wednesday_close
|
|||
thursday_open
|
|||
thursday_close
|
|||
friday_open
|
|||
friday_close
|
|||
saturday_open
|
|||
saturday_close
|
|||
sunday_open
|
|||
sunday_close
|
|||
production_date
|
DateTime | 2023-03-14T00:00:00+00:00 | |
gco_level
|
String | Gebäudekoord. | |
gco_xkoord
|
Float | 11.66036027 | |
gco_ykoord
|
Float | 48.135909995 |
Attribute | Type | Example | Mapping |
---|---|---|---|
Text | 9.00-19.00 | POI Opening Hours | |
Company label
|
Technical University of Berlin | ||
Street
|
Straße des 17. Juni 135 | ||
String | 10623 | Postal Code | |
String | Berlin | City Name | |
String | Germany | Country Name | |
contact information
|
Includes telephone number, fax number, e-mail address and... |
Description
Country Coverage
History
Volume
330,000 | records |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Not available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?
PoS (point of sale) refers to the location a sale takes place; from the consumer’s perspective it is where the item was purchased and from the provider’s perspective it is where the item was sold. PoS data records can be used both in marketing and in location planning applications.
What is PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) used for?
This product has 5 key use cases. PTV Group recommends using the data for Location Intelligence, Location Analytics, Retail Site Selection, Store Locators, and Bank Data Enrichment. Global businesses and organizations buy Demographic Data from PTV Group to fuel their analytics and enrichment.
Who can use PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?
This product is best suited if you’re a Enterprise, Medium-sized Business, or Small Business looking for Demographic Data. Get in touch with PTV Group to see what their data can do for your business and find out which integrations they provide.
How far back does the data in PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) go?
This product has 5 years of historical coverage. It can be delivered on a quarterly, yearly, and on-demand basis.
Which countries does PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) cover?
This product includes data covering 1 country like Germany. PTV Group is headquartered in Germany.
How much does PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) cost?
Pricing information for PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.) is available by getting in contact with PTV Group. Connect with PTV Group to get a quote and arrange custom pricing models based on your data requirements.
How can I get PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?
Businesses can buy Demographic Data from PTV Group and get the data via SFTP and Email. Depending on your data requirements and subscription budget, PTV Group can deliver this product in .json, .csv, .xls, and .txt format.
What is the data quality of PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?
You can compare and assess the data quality of PTV Group using Datarade’s data marketplace.
What are similar products to PTV Points of Sale database Germany POS data (retail, banking and insurance, etc.)?
This product has 3 related products. These alternatives include GapMaps Global Map Data Asia & MENA 150m x 150m Grids Current Demographics and Point-of-Interest (POI) Datasets, Japan Points of Interest (POI) Data, and The Data Appeal Global Point-of-Interest (POI) Data API, Dataset 251 Millions+ POI Data Mapped Footfall and Sentiment Insights. You can compare the best Demographic Data providers and products via Datarade’s data marketplace and get the right data for your use case.