Welcome to the Location Data Blog!

Businesses in need of accurate or customized Point-of-Interest (POI) data don't have good choices: crowdsourced or web-scraped POIs are often questionable in quality, and managed services are impossible to scale at a reasonable cost. Our proprietary POI Data-as-a-Service platform, Geolancer, is unique because it delivers the quality of managed services, the coverage of crowdsourcing, and the scalability of web scraping.

In this article, we highlight how we scaled Geolancer from zero to thousands of POIs in just a matter of weeks on markets as different as The Netherlands and Indonesia.

POI data acts as the fundamental building block for digital mapping and navigation platforms. One of our clients – a prominent European mapping and navigation company – wanted to enrich their platforms by procuring a high-quality POI dataset covering several regions in Brunei. To help them achieve this objective, we launched a POI collection campaign in the city (without an already established presence) and successfully produced a dataset of 1500 verified POIs, all with photos. We reached a completeness level of 99.3%, far exceeding the industry standard.  

Point-of-Interest (POI) data is the foundation for digital maps that enable on-demand service delivery models in navigation, logistics, and other industries. POI data is instrumental for businesses to dynamically match consumers with the right services and places with relevant context. The application and analysis of POI data should be a top priority for all location-based businesses to improve operational efficiency, save costs, and stay ahead of competition.

For several millennia, human beings have delved into alternative realities to entertain themselves and cope with the pressures of everyday life.Until recently, the mediums that enabled these experiences included fictional storytelling, music, art, movies, and TV shows. However, due to the exponential increase in computing power, the last decade has witnessed the rise of the most immersive forms of such mediums to date: Augmented Reality (AR) and Virtual Reality (VR). This blog post sheds light on this growing industry and discuss how Quadrant’s POI datasets can enrich AR and VR platforms – now and in the future.  

Having access to large repositories of data enables businesses to optimise operations in several ways. This includes personalised advertising, greater supply chain efficiency, and more satisfying customer experiences.

However, people have grown increasingly wary of trusting businesses and governments with their data. Several high-profile data privacy breaches at LinkedIn, Alibaba, and Yahoo (to name a few) collectively impacted billions of users.

Ethically managing data and making sure no Personally Identifiable Information (PII) makes it to big data sets is a challenge we take very seriously at Quadrant.