Welcome to the Location Data Blog!

In today’s rapidly evolving world, Point-of-Interest (POI) data has become the lifeblood for various sectors including retail, logistics, and travel. Whether you are a data scientist creating predictive models or an operations manager overseeing a distribution network, the quality of your POI data can make a world of difference. That’s why we took it upon ourselves to put our POI datasets to the test against two of the world’s largest mapping providers, especially focusing on the dynamic markets in Asia. What we found not only reassures our faith in our data quality but also reveals glaring gaps in some of the most trusted mapping databases today.

In an era where data is at the heart of decision-making, the property insurance industry is no exception. Assessing risk, underwriting policies, and even mitigating adjacent property risks all lean heavily on accurate and contextually relevant geospatial data. In this article, we delve into how Geolancer's (Quadrant's POI-as-a-Service) accurate, up-to-date, and customizable datasets are revolutionizing property insurance at every turn – using real-world examples from multiple successful projects.   

Navigating the location data space can be challenging, especially when making decisions that impact your business's bottom line. Whether you're venturing into this space for the first time or looking to refine your approach, our Location Data Buyer's Guide is here to assist. This comprehensive guide aims to demystify the process, offering insights and tips to ensure you make informed choices when procuring location-based services and data. Dive in to unlock the potential of geospatial intelligence for your business. 

Researchers have been utilizing location data to produce actionable intelligence that allows governments to save and improve the quality of citizens’ lives. Mobility-based studies continue to gain traction in academia and are being leveraged to unearth the hidden effects of various urban issues. One such problem is traffic congestion.  
 
As the size of the global population increases, so does vehicle ownership. As a result, traffic congestion is only going to get worse with time. Policymakers must have a thorough understanding of the true impact of traffic jams so that they can undertake suitable interventions to address them.  
 
Minoru Higa, a scholar from Simon Fraser – one of Canada’s leading research universities – used Quadrant’s mobile location data to determine if traffic congestion influenced the time people spent at work. This is a unique research focus that has not been explored in existing studies. Here, we discuss how they utilized our data alongside other third-party data to answer this question. 

Earlier this year, we announced that Quadrant had successfully amassed over 1 million Points-of-Interest (POI) using Geolancer, our cutting-edge data collection and verification platform. At the time, our mapping initiatives were gathering a lot of steam as we rapidly scaled our operations to fulfill the soaring demand for accurate and bespoke POI datasets. In line with our projections, this demand has surged even further, prompting us to accelerate our global mapping efforts.  

We are thrilled to share that we have now reached the 2 million POI mark!  

Here, we discuss some recent mapping projects, why Geolancer is so effective for real-world data collection, and how it will evolve to support a wider range of use cases.