We are pleased to announce our new partnership with dataPlor, experts in international POI data, & the addition of their data to our Data Observatory.
Emerging markets present some of the most exciting opportunities for companies looking to grow their brand market share and revenue.
Identifying the value of data many organizations begin their international growth initiatives with analytics and insights. To avoid assumptions in markets with traditionally low visibility leading organizations are consuming as much information as possible to stay ahead of their competitors abroad.
Where organizations often stumble is in leveraging the right data for these unique and challenging markets. Foundational information that drives growth in this space such as point of interest data (POI) is hard to find often incomplete and typically inaccurate. Poor POI data can result in low confidence in their own business intelligence and erode executive support for international projects.
In order to further enrich the geospatial analyses of our users working internationally CARTO is pleased to announce our new partnership with dataPlor experts in international POI data and the addition of their data to our Data Observatory.
Advanced economies such as the US Canada and the UK tend to have detailed and relatively accurate business location data available via local government filings. The situation is drastically different when working with POI data in Latin American Africa and the Asia-Pacific region. Government data is inaccurate businesses tend to use many different online platforms and the data is rapidly changing as physical places close move or reopen. In a random sample of 1000 POI records in each country data dataPlor provides data in dataPlor discovered that up to 70% of the available POI's were inaccurate abroad.
Oaxaca POIs by category and with credit card payment option
dataPlor aims to solve this issue taking two critical approaches to improve international data quality. First through a proprietary data platform built in house dataPlor leverages multiple technologies including Machine Learning observations AI Bot Calling On-the-Ground Deep Learning image recognition and an automated deduplication engine. Second human validators also known as "Data Explorers " and local to each country manually review records to identify inconsistencies and share their local knowledge. This approach ensures dataPlor's enterprise customers receive data with a high level of accuracy to drive better business outcomes.
Mexico POIs. Total number of Points of Interest by category
From today CARTO users can start leveraging dataPlor's "International POI" data in their geospatial analyses with datasets available in multiple emerging markets. Dynamically and consistently updated dataPlor's International Points of Interest offer critical core information about physical places across the world with attributes including:
- POI attributes from location name address main category and business category phone latitude/longitude
- Operating hours credit card use websites and more
- Confidence scores on each record to help customers leverage more data and prioritize upon the millions of points of interest available
Check out dataPlor in CARTO's Spatial Data Catalog.
In partnering with CARTO dataPlor's datasets can be accessed through CARTO's Data Observatory enabling organizations to immediately improve user experiences implement location intelligence and drive investment and growth initiatives across the globe.
Our Data Partnerships Manager Alejandra Aranzadi Elejabeitia reflected on this partnership:
dataPlor's CEO and Founder Geoff Michener also commented: