Spatial Analytics and Visualizations

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

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

Analyze deeper consumer data with visual mapping to identify patterns

Site selection

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

Dealer network management

Identify missing agencies, distributors, brokers, dealers in your network and reach out

Area risk profiling

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

Market insights

Track market development, unserviced areas, and competition

Features of spatial analysis

Uncover hidden 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.

Schedule a demo

This field is for validation purposes and should be left unchanged.

Contact us

This field is for validation purposes and should be left unchanged.