Point of Interest data plays a vital role in enabling businesses like yours to make data-driven decisions; be it when analysing competitors, selecting a new retail site, or while observing new market trends. In other words, POI data can be an invaluable resource to solve the use case of your company, no matter the industry, with the information provided as such:
What attributes should you consider?
|Alternate Name||An alternate name of the POI|
|Lat/Long||Location latitude refers to a geographic coordinate specifying the north-south & east-west position of a POI|
|Address||Address number and street name|
|Region||State, province, or region|
|Postcode||Postcode or Zip code|
While these attributes are all important, not all of them are of equal value while conducting a geospatial analysis. In short, you should prioritise data providers who offer attributes that best fit your use case. With this being said, here are some additional unique attributes that have proven to add major value to a POI dataset:
|Telephone||Telephone number with a local formatting|
|Fax||Fax number with a local formatting|
|The email address of the organization|
|Website||Office website of the business|
|Neighborhood||The neighborhood(s) in which the POI is found|
|Lat/Long||Location latitude refers to a geographic coordinate specifying the north-south & east-west position of a PO!|
|Chain Name||Chain entity associated with the organization (Zara-Inditex)|
|Parent Organization||Legal entity that runs the stated brand/franchise. This is the indicator of the business group that the company is listed under.|
|Stock Tickers||Abbreviations to identify publicly traded companies worldwide|
|Category Labels||Category labels defining the category branch (E.g., Automotive, Food and Dining, Retail, etc.)|
|Radius Size||POI boundaries defined by a radius or a centroid that takes in the geographical boundaries of a POI in a circular format Shapefile Polygon shapefiles that geofence the exact geographical|
|Popularity Index||Indicates the level of popularity for a specific PO!|
|Hours of operations||Opening and Closing Hours|
|Website URL||URL of the official website of the PO!|
|Mobility Index||How much people living in the area move within a day|
|Population Index||Population living in Area|
|Age Distribution||Represents the age distribution within an area|
|Employment Index||Indicates employment rate|
Evaluated appropriately, additional attributes like the ones mentioned lead to intelligent business strategies by providing a context to a determined location. A great mix of attributes will help you draw the right conclusions from the data and gain a competitive edge in their market.
Relevant use cases
1. Financial Institutions
2. Urban Planning
3. Media and AdTech
To sum up
- If the data is recent enough for your use case?
- What level of accuracy does your use case require?
- How is the data sourced?
- Do you need to source any additional datasets to complement that dataset?