Welcome to the Location Data Blog!

Last-mile, food delivery, e-commerce, and postal services companies constantly strive to improve their services and operational efficiency to remain competitive. In this highly saturated space, the quality of location data powering delivery apps and platforms can be detrimental to the efficiency of operations. In this post, we will discuss how location data (mobile location and POI data) enables businesses to locate customers accurately, optimize mapping and routing systems, and minimize the waste of time and resources.

Businesses across a host of industries (such as retail and FMCG) strive to improve supply chain efficiency to cut costs, meet customer demand, and increase profits. This article explores how geospatial data (mobile location and Point-of-Interest data) is a valuable tool for enabling these objectives and can be leveraged to support profitable decision-making in supply chain and delivery logistics. 

Geospatial data – specifically mobile location and Points-of-Interest (POI) data - is a powerful resource that enables everyday location-based services such as ride-hailing, food delivery, logistics, etc. Location data analyses have been proven to optimize commercial operations, identify high-impact public investments, improve our ability to respond to and prepare for natural disasters, and more.   

The location data industry is extremely dynamic because of several reasons, including new policies from dominant OS providers, data-privacy regulations, the ongoing transformation of cities and movement patterns, etc. As it continues to expand and evolve, businesses that  utilize geospatial data (as well as those that supply it) must stay up to date with the ever-changing landscape to maintain a competitive edge.   

Based on our expertise and success with many leading companies across the world, we have authored a report that details the themes and trends we believe will mold the industry in 2023 and beyond. 

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. 

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.