Welcome to the Location Data Blog!

Good quality data is crucial for the operational efficiency of location-based businesses. Location-based analyses used in critical decision-making processes rely on the quality and accuracy of data powering them.

However, location data supply chains are characterized by a lack of transparency and authenticity, because data vendors prioritize volume over quality. To ensure that our customers make the most of their data purchase, we have made significant strides in identifying and erasing fraudulent data within our datasets. One way we achieve this is by examining our own data sources and constantly monitoring activity within our mobility and POI data feeds. We use data visualisation and proprietary AI models to spot instances of low-quality or fraudulent data and remove them before reaching customers. 

A few weeks ago, we announced that Quadrant had collected 250,000 POIs through Geolancer. Today, we are excited to share that we have doubled the size of our database to over half a million POIs!  

The increasing demand for Geolancer's manually collected, recent, and attribute-rich data has encouraged our rapid expansion. Besides hitting the half-million mark, we are happy to report that three of the world's top 5 mapping companies are now leveraging Geolancer's industry-leading POI data.

Besides rapid growth, we also have other exciting news to share.

As a proxy for human mobility within the physical world, raw location data provides unparalleled insights into people’s behaviors and needs. Businesses harness such intelligence to boost performance while governments and non-profit organizations leverage it to execute people-centric development programs.   

However, the location data industry is teeming with issues (obscure supply chains, poor quality control, inflexible business practices, an abundance of non-compliant data, etc.). These factors make it extremely challenging for data scientists and analysts to generate actionable intelligence.   

We’ve crafted a solution brief that details all these problems and elaborates on how Quadrant is solving them through our industry-leading location data offering. The brief also contains use cases and customer success stories with proven results for various use cases.   

Quadrant’s POI Data-as-a-Service platform, Geolancer, is superior to conventional POI data collection tools in many ways. Geolancer’s ability to quickly provide high-quality, customizable metadata on demand makes it stand out in a sea of POI data providers. Our bespoke POI datasets allow businesses to increase operational efficiency, build better products, and enhance customer experience.  

The ride-hailing industry is characterized by stiff competition and new businesses are entering the fray every year. By 2026, the market size for ridesharing services is expected to more than double compared to 2021. For companies to thrive in this fiercely competitive landscape, they must optimize their routing systems to expedite pick-ups, match demand, and deliver more rides per driver for maximum profitability.  

Ridesharing services need accurate and up-to-date POI data to function. However, the underlying maps that enable their operations are outdated, and changes in the physical world are not reflected nearly as quickly as needed. A lack of current and contextual information can cost rideshare companies in terms of lost driver productivity, rider churn, and overall operational inefficiency.