POI Dataset - Banking, Financial Services and Insurance UK product image in hero

POI Dataset - Banking, Financial Services and Insurance UK

DataBing
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#
data_source_id
source
Category Id
Category Names
url
name
working_hr_monday
working_hr_tuesday
working_hr_wednesday
working_hr_thursday
working_hr_friday
working_hr_saturday
working_hr_sunday
time_stamp
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx
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Sign In To Preview Data
Volume
2.33K
Records
Data Quality
95%
Match Rate
Avail. Format
.csv
File
Coverage
1
Country
History
1
months

Data Dictionary

[Sample] Yorkshire Bank UK.csv
Attribute Type Example Mapping
data_source_id
Integer 152
String Yorkshire Bank Brand Name
Integer 12700 Brand ID
source
String https://secure.ybonline.co.uk/personal/online-locator/
Category Id
String 236, 235, 239, 238, 414
Category Names
String BANKS | ATM | LOANS AND MORTGUAGES | INSURANCE | FINANCIA...
url
name
String Yorkshire Bank
String ## *** **, ************ Address
String HD1 2BT Postal Code
String United Kingdom Country Name
Float 53.6452522 Latitude
Float -1.7831403 Longitude
String ## ### ### #### Phone Number
working_hr_monday
String 10:00-15:00
working_hr_tuesday
String 10:00-15:00
working_hr_wednesday
String 10:00-15:00
working_hr_thursday
String 10:00-15:00
working_hr_friday
String 10:00-15:00
working_hr_saturday
String 00:00-00:00
working_hr_sunday
String 00:00-00:00
time_stamp
DateTime 2021-04-19T12:53:36+00:00
Product Attributes
Attribute Type Example Mapping
String Bank of Scotland Brand Name
Source URL
https://branches.bankofscotland.co.uk/
Name
Bank of Scotland
Address, Zipcode and Country
39 Albyn Place, Aberdeen, AB10 1YN, United Kingdom
String 57.142752, -2.1248812 Latitude-Longitude
String ## ### ### #### Phone Number
Working Hours
09:30-14:00

Description

2328 places across 10 BFSI brands across the UK. The dataset includes the name of the business, postal address, postcode, latitude and longitude, phone number and working hours. Updated monthly.
The UK BFSI brands' locations dataset is compiled using multiple methods and tools. The brands include Bank of Scotland, HSBC, Lloyds Bank to name a few. The simplicity of this places of interest dataset in a . CSV, makes it a very flexible layer that can be used on your AI models. We have previously done business with data analysts, data scientists, business intelligence teams, who have appreciated the conciseness of this dataset.

Geography

Europe (1)
United Kingdom

History

1 months of historical data

Volume

2,330 Records

Pricing

License Starts at
One-off purchase
$600 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Quality

Self-reported by the provider
95%
Match Rate

Delivery

Methods
Email
Frequency
weekly
monthly
quarterly
yearly
on-demand
Format
.csv

Use Cases

Categories

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Frequently asked questions

What is POI Dataset - Banking, Financial Services and Insurance UK?

2328 places across 10 BFSI brands across the UK. The dataset includes the name of the business, postal address, postcode, latitude and longitude, phone number and working hours. Updated monthly.

What is POI Dataset - Banking, Financial Services and Insurance UK used for?

This product has 4 key use cases. DataBing recommends using the data for Location-based Marketing, Location Intelligence, Location Planning, and Point of Interest (POI) Mapping. Global businesses and organizations buy Location Data from DataBing to fuel their analytics and enrichment.

Who can use POI Dataset - Banking, Financial Services and Insurance UK?

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

How far back does the data in POI Dataset - Banking, Financial Services and Insurance UK go?

This Tabular Data has 1 months of historical coverage. It can be delivered on a weekly, monthly, quarterly, yearly, and on-demand basis.

Which countries does POI Dataset - Banking, Financial Services and Insurance UK cover?

This product includes data covering 1 country like United Kingdom. DataBing is headquartered in India.

How much does POI Dataset - Banking, Financial Services and Insurance UK cost?

Pricing for POI Dataset - Banking, Financial Services and Insurance UK starts at USD600 per purchase. Connect with DataBing to get a quote and arrange custom pricing models based on your data requirements.

How can I get POI Dataset - Banking, Financial Services and Insurance UK?

Businesses can buy Location Data from DataBing and get the data via Email. Depending on your data requirements and subscription budget, DataBing can deliver this product in .csv format.

What is the data quality of POI Dataset - Banking, Financial Services and Insurance UK?

DataBing has reported that this product has the following quality and accuracy assurances: 95% Match Rate. You can compare and assess the data quality of DataBing using Datarade’s data marketplace. DataBing appears on selected Datarade top lists ranking the best data providers, including Who’s New on Datarade? August Edition.

What are similar products to POI Dataset - Banking, Financial Services and Insurance UK?

This Tabular Data has 3 related products. These alternatives include The Data Appeal Location Data, Point of Interest (POI) Data and Map Data API, Dataset 200 Million + POI Data Mapped Coverage from 2019, SafeGraph: Location Data - Global Coverage 51M+ POIs, and Xtract.io - Point-of-Interest (POI) Data Places data All Starbucks Coffeehouse 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.

Starts at
$600 / purchase
License Starts at
One-off purchase
$600 / purchase
Monthly License Not available
Yearly License Not available
Usage-based Not available