Welcome to the Location Data Blog!

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.

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.

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. 

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.   

The needs of urban communities continuously evolve due to socio-economic, geopolitical, and environmental changes. Therefore, the consistent development and redevelopment of cities is essential for addressing the changing needs of urban citizens. 

Analyzing large-scale mobility patterns allows urban planners, researchers, and public officials to gauge how people’s behavior changes in response to various events and developments. It can also help determine which of their current needs cannot be satisfied through existing services and facilities. 

Location intelligence is a powerful tool as it enables the creation and implementation of master plans that make cities more resilient and people-centric. In this article, we discuss how precise and comprehensive movement insights can help urban planners.