Welcome to the Location Data Blog!

 

Learn how companies all over the globe are utilising location data to enhance business operations and improve profitability. Keep up with industry updates, best practices, and key learnings from location intelligence projects we have executed.

Geolancer database doubles to 1 million POI in just 7 weeks!

We recently announced that Quadrant had gathered 500,000 Points-of-Interest (POI) via Geolancer, our industry-leading Data-as-a-Service platform. Previously, it took us 10 weeks to double the size of our database from 250,000 POI. This time around, we are delighted to share that we have achieved the same feat even quicker (a mere month and a half) while crossing the 1 million mark!  

Having consistently delivered on our promise of a high-quality, scalable, affordable, and customizable POI solution, we have generated surging demand across a host of sectors and have rapidly expanded our coverage to fulfil it. 

Here, we recap some of our successful projects from the last quarter to highlight the diversity of the use cases that we are enabling.  

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Using geospatial data to advance sustainability in government and business

Big data is a powerful tool for tackling climate change – humanity’s greatest challenge in the 21st century. Geospatial data is a form of Big Data that is drastically improving mitigation/adaptation strategies for climate change and increasing the likelihood that we collectively accomplish the Sustainable Development Goals. By giving businesses and governments a firm understanding of evolving mobility patterns and spatial relationships, geospatial intelligence can decrease resource consumption, lower pollution and carbon emissions, enhance our resilience to climate-induced natural disasters, and more.  

Researchers, businesses, and government agencies leverage mobile location and Point-of-Interest (POI) data to advance sustainability. Let's look at some of these use cases. 

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Aqfer Announces New Partnership With Quadrant

Aqfer, a leading provider of big data marketing solutions, has announced a new partnership with Quadrant, a global leader in raw mobile location data, point-of-interest (POI) data, and corresponding compliance services.

The partnership provides Aqfer clients and their customers access to Quadrant’s raw location data feed, where they can access all of Quadrant’s anonymized and privacy-compliant movement data. Quadrant also offers manually verified and customized POI datasets on demand, along with an off-the-shelf POI data feed. This wealth of data will help Aqfer’s clients and their customers augment their existing first-party identity graphs with additional audience identifiers, allowing them to perform hyper-targeted, location-based marketing and advertising initiatives.

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How to leverage geospatial data to boost profitability for travel-based businesses

Geospatial data and technology offers great opportunities for the development of modern tourism applications and businesses. Accurate Point-of-Interest (POI) data is crucial for effective trip planning, online bookings, and location-based services such as digital maps and navigation systems. On the other hand, analysis of mobile location data can offer comprehensive insights into travellers' movement and behavior, allowing businesses to derive actionable business intelligence and improve their offerings.

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In-field POI data collection at scale - a revolution for the digital mapping industry

Location-based technology and services, such as ride-hailing, online marketplaces, and food delivery have become a vital part of daily life. The effectiveness of these services depends on accurate, recent, and comprehensive point-of-interest (POI) data. However, most public maps and widely used POI data sources are outdated.

Experts predict that the need for location-based services will continue to increase, with a projected growth rate of 24.3% and to an industry market cap of over $300 billion by 2030. As the demand for these services grows, the need for reliable mapping solutions becomes increasingly important.

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