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High-quality Location Intelligence Data.

  • Location intelligence data involves utilizing geographic and spatial information to gain insights into patterns, behaviors, and trends associated with specific locations.
  • It helps businesses make informed decisions about where to operate, optimize routes, reach the right customers, and discover new opportunities for developing location-based software.
  • Data indicates that an increasing number of companies are utilizing this information to improve operations across various sectors, including retail, logistics, real estate, finance, marketing, and urban planning.
  • We provide high-quality location intelligence data to businesses across various industries, including retail, transportation, finance, healthcare, e-commerce, real estate and more.
  • Our advanced tools and powerful data solutions enable businesses to scale their operations and transform their ideas into impactful strategies, products and software.
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  • 164M+
    Global Places
  • 360M+
    Businesses
  • 460+
    Data Attributes
  • 220
    Countries and Territories
Location Intelligence Data

Use Cases and Solutions.

1) Logistics route planning for a delivery service
A logistics company uses location intelligence data to map delivery points across urban and rural areas. By analyzing geospatial coordinates and building footprints, they optimize routes, reduce delivery times, and improve fuel efficiency.

2) Market positioning for a quick service restaurant
A fast-food chain leverages location intelligence data to map competitor locations and consumer foot traffic. This allows them to adjust menus, pricing, and promotional strategies to gain a competitive edge in specific regions.

3) Urban development planning for a local government
A local government uses location intelligence data to assess the distribution of public facilities like schools, hospitals, and parks. By identifying underserved areas, they can make informed decisions for infrastructure development and enhance resident access to essential services.

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1) Real-time navigation for commuters
A navigation app utilizes location intelligence data and real-time traffic conditions to suggest the fastest routes for commuters. By combining geospatial data with road incident reports, it helps reduce congestion and ensures more accurate travel times.

2) Traveler guidance and recommendations
A navigation tool uses location intelligence data to help travelers find nearby attractions, restaurants, and landmarks. By incorporating building footprints and venue categories, it provides personalized recommendations for specific types of destinations.

3) EV charging station locator
A navigation app for Electric Vehicle (EV) drivers integrates location intelligence data to show nearby charging stations. The tool includes details such as charging speed, station availability, and user reviews, helping to improve the overall charging experience and alleviate range anxiety.
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1) Optimized retail store expansion
A global fashion retailer leverages location intelligence data to evaluate potential store locations. By analyzing competitor presence, customer demographics, and foot traffic trends, they identify high-revenue areas for expansion.

2) Strategic franchise placement for QSR chains
A quick-service restaurant (QSR) chain uses location intelligence to select franchise sites near high-traffic areas like malls, schools, and highways. Insights into nearby competitors and local demographics help maximize profitability.

3) Warehouse site selection for e-commerce
An e-commerce company applies location intelligence data to position warehouses near major transportation hubs and population centers. By integrating building footprints and geospatial data, they optimize logistics, reducing shipping times and costs.
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1) Disaster Risk Assessment for Emergency Planning
Government agencies utilize geospatial data to analyze flood zones, earthquake-prone areas, and wildfire risks. By mapping high-risk locations, they optimize resource allocation and develop targeted emergency response strategies.

2) Public Health Campaigns for Better Outreach
Healthcare organizations leverage spatial analysis to monitor disease outbreaks and vaccination rates. By identifying underserved regions, they ensure efficient distribution of medical supplies and awareness programs.

3) Agricultural Land Optimization for Increased Yield
Agribusinesses apply geospatial analysis to assess soil quality, climate conditions, and water availability. This data-driven approach enhances crop planning, improves resource efficiency, and maximizes agricultural productivity.
Location intelligence solutions to drive your business ideas, operations and software.
Contact our data experts to discuss your project. We will provide advice on the data available to support your idea.
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Frequently asked questions
What is location intelligence data?
Location intelligence data refers to the use of geographic and spatial data to gain insights into patterns, behaviors, and trends related to specific locations. It involves the analysis of various data sources, such as GPS coordinates, maps, addresses, and geospatial data, to make informed decisions about market opportunities, customer behavior, supply chains, and operational efficiencies.
What are location intelligence solutions?

Location intelligence solutions are tools and technologies that allow businesses to analyze and visualize location-based data in a way that drives decision-making. These solutions typically combine location data with advanced analytics, machine learning, and mapping technologies to uncover valuable insights and support strategic actions such as route optimization, site selection, customer targeting, and risk assessment. Together, location intelligence data and solutions enable businesses to gain a deeper understanding of their markets and optimize their operations accordingly.

How do companies use such data and solutions?

Location intelligence data provides businesses with valuable insights by analyzing geographic and spatial data. This enables companies to optimize site selection, enhance marketing strategies, streamline supply chains, improve customer experiences, and make data-driven decisions based on market trends and competitor positioning.







What are the key attributes of location intelligence data?

Location intelligence data includes geospatial coordinates, boundaries, demographics, traffic patterns, business locations, consumer behavior, and environmental factors. 

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