[SAMPLE] Factori Geospatial Data | Global | Location Intelligence | POI , Foot Traffic, Store Visit

Our Geospatial Dataset 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.
It includes information such as the name, address, coordinates, and category of these locations, which can range from restaurants and hotels to parks and tourist attractions

Location Intelligence Data Reach:
Location Intelligence data brings the POI/Place/OOH level insights calculated on the basis of Factori’s Mobility & People Graph data aggregated from multiple data sources globally. In order 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 56 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:
LocationID
name
website
BrandID
Phone
streetAddress
city
state
country_code
zip
lat
lng
poi_status
geoHash8

本地理空间数据集将全球范围内的人员移动轨迹与超1400万个实体点位建立关联。该数据集采用聚合匿名化处理后的数据源，仅用于为特定点位的到访人次与到访模式提供背景支撑。此数据集的数据源覆盖全球各地。

数据集包含点位的名称、地址、坐标与分类等信息，覆盖场景涵盖餐饮门店、酒店、公园及旅游景点等各类场所。

点位智能数据覆盖范围：
点位智能数据基于Factori的全球多源聚合移动与人群图谱数据，生成点位（POI, Point of Interest）、场所及户外广告（OOH, Out-of-Home）层级的洞察分析。为实现精准的到访客流归因，我们通过组合特定属性字段，生成所需的覆盖范围数据。
举例而言，若需计算特定点位的到访客流，可通过组合点位ID、星期几及当日时段等属性，生成针对性的点位智能数据。基于上述属性组合，单个POI最多可生成56条数据记录。

数据导出机制：
由于本数据集采用动态采集模式，我们将通过适配的更新周期（每日/每周/每月）与最优传输方式，向用户提供最新的数据与洞察结果。

应用场景：
信用评分：
金融服务机构可通过验证点位信息与客户画像，利用替代数据为未充分获得银行服务或无银行账户的客户进行信用评分。
零售分析：
分析各类点位的客流趋势，深入了解客户画像。
市场调研：
调研各类市场区域、兴趣点的分布与邻近关系，以及竞争格局。
城市规划：
基于实时人口流动数据，为城市开发、公共基础设施需求及交通规划提供决策依据。

包含的数据字段：
点位ID（LocationID）、点位名称（name）、官方网站（website）、品牌ID（BrandID）、联系电话（Phone）、街道地址（streetAddress）、城市（city）、州/省（state）、国家代码（country_code）、邮政编码（zip）、纬度（lat）、经度（lng）、POI状态（poi_status）、geoHash8编码（geoHash8）