Location intelligence is a business insight that can be obtained from collecting and analyzing geographic and geospatial data. Location intelligence includes several visual representations of business assets, competitor assets, and customer addresses. Location intelligence in business aims to understand the local consumer and competitive landscape and enable strategic decisions based on specific consumer needs, regional assets, and competitive presence.

While business intelligence uses different types of insights and charts, this data science area relates to location-based analysis. Location data provides different types of insight analysis and a more global view for better decision-making. Location intelligence has existed for a long time, but analysts used custom maps. But today, digital technologies create several platforms called mapping tools and geographic information systems (GIS). 

 How Location Intelligence Works

Location Intelligence is an intuitive technology for accessing various data, including social demographics and disposable income, to understand how locations affect business.

Interactive techniques can generate real-time maps and visualizations, so you can filter your data to see only what's important. This makes finding patterns and trends related to business needs easier and makes strategic decisions more effective. 

Geospatial business intelligence is interdisciplinary and comes from the intersection of three distinct areas: business intelligence, artificial intelligence, and geographic information system technology. This fusion enables companies to resolve various use cases, including converting location data into valuable insights, maximizing the efficiency of a store network, performing sales forecasts, and choosing a location with appropriate location characteristics to support a sustainable expansion strategy. 

Key Benefits of Location Intelligence 

Location Intelligence vs. Business Intelligence

The difference between Location and Business Intelligence is what data is used and what insights are applied. Business intelligence includes consolidation and analysis of multiple different types of data. However, the information derived from this analysis is used for specific purposes and decision-making to improve business operations.

Location intelligence, on the other hand, uses geospatial data. Geospatial data includes information about places of interest, building footprints, patterns of people's visits, weather systems, and road traffic. However, location information is not only used to solve business problems or improve processes, there are many other use cases.

In other words, location-based business intelligence is possible, but not all business intelligence is location-based.