Welcome to the Location Data Blog!

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. 

As marketing strategies continue to evolve, mobile location data has emerged as a crucial resource for generating valuable insights that drive ROI. With its unparalleled ability to deliver targeted messages to the right audience, at the right place, and at the right time, human mobility data has become a game-changer for the advertising industry. We have also seen amazing results in using location data to measure the ROI of marketing campaigns. In this article, we elaborate on how location data can be applied to high-impact use cases in advertising, marketing, and related technology.

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. 

Mobile location data is a valuable resource for retailers, as it provides insights into the movement patterns of consumers in the physical world. By analyzing this data, retailers can gain a deeper understanding of human mobility and use it to improve their marketing campaigns, gain a competitive edge, and identify and address operational inefficiencies. In this article, we explore several ways in which retailers can use location data to enhance strategic decision-making, reduce costs, and boost profitability.