[SAMPLE] Factori AI & ML Training Data | Point of Interest Data (POI) | Global | Machine ...

Our POI Data connects people's movements to over 14M physical locations globally. These are aggregated and anonymized data that are only used to offer context for the volume and patterns of visits to certain locations. This data feed is compiled from different data sources around the world.

Reach:
Our POI/Place/OOH level insights are calculated based on Factori’s Mobility & People Graph data aggregated from multiple data sources globally. To achieve the desired foot-traffic attribution, specific attributes are combined to bring forward the desired reach data.
For instance, in order to calculate the foot traffic for a specific location, a combination of location ID, day of the week, and part of the day can be combined to give specific location intelligence data. There can be a maximum of 40 data records possible for one POI based on the combination of these attributes.

Data Export Methodology:
Since we collect data dynamically, we provide the most updated data and insights via a best-suited method at a suitable interval (daily/weekly/monthly).

Use Cases:
Credit Scoring:
Financial services can use alternative data to score an underbanked or unbanked customer by validating locations and persona.
Retail Analytics:
Analyze footfall trends in various locations and gain an understanding of customer personas.
Market Intelligence:
Study various market areas, the proximity of points or interests, and the competitive landscape
Urban Planning:
Build cases for urban development, public infrastructure needs, and transit planning based on fresh population data.

Data Attributes Included:
Location ID
n_visitors
day_of_week
distance_from_home
do_date
month
part_of_day
travelled_countries
Visitor_country_origin
Visitor_home_origin
Visitor_work_origin
year