Location Intelligence
- Location intelligence (LI) is a business intelligence (BI) tool capability that relates geographic contexts to business.
- The term “location intelligence” is a relatively new term in this digital era that began some 30 or more years ago.
- It was introduced to to describe how location analysis could be applied primarily to common business problems such as site selection or customer profiling.
- Location intelligence can use a variety of spatial and business analytical tools to measure optimal locations for operating a business or providing a service.
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How is it Different From Business Intelligence ?
Business Intelligence System That;
- Enable efficient multi channel access and analysis of enterprise information
- Provide a platform for timely decision making
- All user driven self Service
- Typically BI Systems provide the “Who”, “What” and “When”.
- Spatial BI, The Integration of BI & GIS , adding the “where” factor to analyses which;
- Enhance the “who” dimension by tying third party data (such as market potential ) to internal enterprise data.
- Enable analytics based on the “where” factor with intuitive map-based visualization that might reveal spatial relationship, dependencies or trends difficult to otherwise identify
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- Reveals Spatial relationship, trends clusters and patterns undetectable with traditional BI
- Detect link patterns and trends depending on spatial context
Location Intelligence Use Cases
- Descriptive- DLI find some new insight based on spatial relationships in the data such as adjacency or proximity to drill into more spatial detail or zoom out to see a broader pattern.
- Predictive- PLI helps with correlation analysis, trend analysis, and forecasting to create a simplified, manageable view of the world to help solve problems or broaden understanding of how location impacts a decision.
- Prescriptive- Knowing the lay of the land (DLI) and what may happen there (PLI) paves the way for prescriptive location intelligence, in which decisions are assisted or prescribed by spatial relationships or models.
Application Areas of Location Intelligence
Retail and Supply-chain Management
Challenges
- Retail site selection and expansion planning
- Customer analysis, customer profiling, competitive analysis
- Advertising and marketing promotions
- Control and monitoring of supplied products with real time risk analysis
Benefits
- Sales territory design and optimization
- Companies looking to add stores to fill geographic gaps can also use location analytics.
- Safe deliveries of products by avoiding risk events .
- improve distribution planning and execution by supporting processes.
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Utilities in Telecom, Oil and Gas
Challenges
- Fast maintenance and service activities
- Customer analysis, customer profiling, competitive analysis
- Advertising and marketing promotions
- Control and monitoring of supplied products with real time risk analysis
Benefits
- Sales territory design and optimization
- Companies looking to add stores to fill geographic gaps can also use location analytics.
- Safe deliveries of products by avoiding risk events .
- improve distribution planning and execution by supporting processes.
Utilities in Transportation
Challenges
- Traffic Monitoring
- Technical maintenance bridges and Tunnels
- Prevention against accidents
- Coordination of roadworks with local authorities
Needs
- Be able visualize traffic, roadworks and accidents areas at a glance in real time
- Share data with local authorities and contractors
Benefits
- Information shared with federal and local Governments
- Reduce maintenance cost
- Anticipate traffic Jams and Risk Areas
Utilities in Water Resources
Challenges
- Control and monitoring of water quality and funding of projects improving water resources
- Compliances with regulatory authorities
Needs
- Enable consistency between many measures from thousands of assets spanning complex water geo information system
- Automate frequent updates for high reactivity
Benefits
- Target precise areas recurring investment
- Improve reactivity and understanding of pollutions
- Optimize allocation of funds
Utilities in Healthcare
Challenges
- Monitoring and control drinking water quality
- Centralize data regarding epidemics (eg. Swine flu, bird flu, tuberculosis )
- Plan medical resource needed over a 10 year period with demographic trends.
Needs
- Be able to visualize epidemics over short term or long term periods
- Share data with operational Local departments
Benefits
- Health reporting communication with relevant visualization.
- Building of health Geo-information warehouse
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Utilities in Agriculture
Challenges
- Control to decide farmer loan application eligibility
- Estimation of investment risk
- Integration of various data source with geographical information in order to have a complete 360 overview using powerful visual analysis
Benefits
- Internal and external data (Numeric Geographical, weather , weather , points of interest seamlessly integrated into reporting
- Quick fraud detection.
- Powerful and intuitive visual analysis
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