Location Intelligence vs Business Intelligence

Location intelligence enhances traditional Business Intelligence by integrating spatial data, providing insights into how location impacts business performance. Because everything happens somewhere.

What is the difference between Business Intelligence and Location Intelligence

Discover 4 main differences between Business Intelligence and Location Intelligence

Data Focus

Business Intelligence (BI) primarily analyzes structured data from internal sources, such as sales, finances, and operations, while Location Intelligence (LI) integrates geographic data to understand the spatial context of business operations.

Analysis Scope

BI focuses on past and present performance to derive insights and make data-driven decisions, while LI considers the geographic dimension to optimize site selection, assess market demographics, and plan logistics.

Strategic Application

BI informs strategic decisions based on historical and real-time data, whereas LI enables strategic planning by considering geographic factors like market saturation, proximity to suppliers/customers, and environmental risks.

Decision Context

BI helps organizations understand overall business performance, trends, and patterns, while LI provides insights into how location impacts business operations, customers, and risks.

Types of Data in Location Intelligence

Financial

Consumer Spending, Purchasing Power and Wealth indicators from the leading data providers.

Human Mobility

Mobile device and GPS data provide insight into human movement patterns.

Demographics

The most recent census data including: age, income, household types, and more.

Housing

Property statistics, prices, and history to drive decisions and investment.

Road Traffic

Data from routing apps and GPS to analyze traffic patterns and commuters.

Points of Interest

Location data for business establishments, restaurants, schools, attractions

Environmental

Climate and weather data, including exposure to weather- based hazards.

Geographies

Digital boundaries for data aggregation and display on a map.

Behavioral

Browsing habits, app usage, feelings and experiences shared over social media platforms

What is an Example of Location Intelligence Use Case

Branch Network Optimization

Strategically optimize your branch network, maximizing efficiency and profitability.

Site Selection

Pinpoint optimal locations for your business, ensuring success from the ground up.

Opportunity Prediction

Forecast market trends and capitalize on emerging opportunities.

Catchment Area Analysis

Analyze the geographic reach of your business and tailor strategies to target specific demographics effectively.

OOH Planning

Ensure your targeted campaigns reach the right audience, in the right place, at the right time.

The Future of Location Intelligence

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Ondrej Tomas,

Co-Founder & CEO