Spatial analytics processes various types of location data and helps determine detailed geographic patterns like sustainability, suitability, and predictability. It offers insights on opportunities and risks that are otherwise challenging to describe. Spatial analytics brings essential context to various aspects like customer buying patterns, business expansion plans, supply chain management, competitive analysis, and more. Companies from multiple industries can get the crucial answer to the “where” aspect of their business by leveraging spatial analytics to make key strategic decisions.
Use cases
Spatial data analytics and visualization is used to create more detailed modeling and trend predictions. Several industries ranging from BFSI to logistics leverage spatial analytics to improve their core competencies.
Fleet tracking
Dista’s fleet tracking software enables logistic firms to get rid of tiring paperwork and spreadsheets and work with a central system that tracks, analyzes, and enhances fleet operations.It helps to improve the real-time visibility of the fleets and boosts vehicle capacity management. Our platform offers a detailed insight into total costs, cost-per-mile, asset utilization, and more with visual dashboards and reports.
Learn more about fleet tracking here.
Challenges addressed by spatial analytics
- Selection of less suitable locations for business expansion of outlets, stores, and branches
- Lack of visibility on seasonal consumer buying habits
- Unbalanced coverage leading to underservice or cannibalization
- Lack of market segmentation to improve sales and marketing
- Inefficient tools to measure risk analysis
Benefits of spatial analytics
Improve predictive modeling for better strategic decisions
Increase market penetration with a better understanding of data
Offer competitive edge and ultimately increase ROI
Better transparency with market insights
Increase revenues and cut costs
Make improved strategic decisions using spatial analytics!
Features of Spatial Analysis
Uncover hidden patterns
Uncover hidden patterns
Site selection
Site selection
Dealer network management
Dealer network management
Area risk profiling
Area risk profiling
Market insights
Market insights
Features of spatial analysis
Uncover patterns
Analyze deeper consumer data with visual mapping to identify patterns.
Site selection
Discover the best locations for setting up new branches, onboarding new agents by shortlisting high potential areas based on demographics.
Dealer network management
Identify missing agencies, distributors, brokers, dealers in your network and reach out.
Area risk profiling
BFSI companies can check existing delinquency levels, business establishments in a nearby area to pinpoint high risk (negative) areas where prospects would not qualify for credit approval.
Market insights
Track market development, unserviced areas, and competition.
