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 However, the underlying maps that enable their operations are outdated, and changes in the physical world are not reflected nearly as quickly as needed.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.
In the insurance business, many decision-making processes hinge on location intelligence and real-world geospatial information. Point-of-Interest (POI) data in particular is used for building contextual profiles of neighborhoods and determining precise risk scores for commercial and residential properties - which enables the creation of better policies.
Many insurance businesses use satellite and aerial imagery to guide risk assessment and underwriting. However, neither of these tools can offer the comprehensive insights that can be unlocked through ground level geospatial data.
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.
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