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. 

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.

Releasing a new consumer-facing physical product is difficult. In today’s hyper-competitive landscape, only companies that execute a data-driven marketing strategy during a product’s pre-launch, launch, and post-launch phases can expect to hit or even exceed – their goals. In this article, we elaborate on how businesses can leverage mobile location and Point-of-Interest (POI) data to make marketing initiatives across these three critical timeframes more effective.  

Urban planners and transport economists need location data to build better cities and facilitate equitable and convenient access to public transit. The movement of people within an area and between various Points-of-interest (POI) can provide valuable insights for city administrations, governments and businesses. Inaccessible facilities and public transit networks impact the socio-economic conditions of people living in an area, and therefore, affect the quality of their lives.