Making sense of customer and service data is increasingly about location. Geospatial analysis, also known as location planning, helps organisations understand where people come from, how performance varies by area, and where opportunities or gaps exist.
Who is Geospatial Analysis for?
Need to make strategic choices using location data without needing deep technical expertise? You’ll find that GMAP’s geospatial analysis tools are most commonly used by organisations in:
They are also relevant to sectors such as finance and public services, where understanding demand, coverage and performance across geography is critical.
Geospatial analysis software, tools and support from GMAP
GMAP does not sell “geospatial analysis” as a single product. Instead, we provide a geospatial analysis platform made up of:
1) Geospatial analysis software
Our software enables mapping and spatial analysis, allowing teams to explore data geographically, compare locations and test scenarios.
2) BI tools for geospatial analysis
GMAP offers a range of spatial analysis tools
that support:
- Mapping and spatial analysis
- Catchment and network analysis
- Location planning and performance comparison
These tools are designed to support decision-making, not just data visualisation.
3) Data and Consultancy
Alongside software, GMAP provides:
- Location-linked data to enrich analysis
- Consultancy support and bespoke project work to help define the right approach, interpret results and apply insights in real-world decisions
Together, these elements allow organisations to carry out effective geospatial analysis online without building everything from scratch.
GIS mapping and spatial analysis
For teams already working with GIS, GMAP’s tools and outputs can support GIS mapping and spatial analysis workflows.
Our approach complements existing GIS spatial analysis tools by focusing on:
- Business and operational decision-making
- Clear, interpretable outputs
- Practical application in sectors such as retail and automotive
This makes GMAP a useful bridge between technical GIS analysis and strategic planning.
Data quality, consistency and integrity
Effective spatial analysis depends on trustworthy data. GMAP places strong emphasis on:
- Consistent geographic definitions
- Transparent assumptions
- Clear documentation of methods and outputs
This ensures organisations can rely on their analysis with confidence and supports the role of geospatial analysis as an integrity-driven decision tool, not a black box.
Why GMAP?
GMAP has over 40 years’ experience working with location-based data to support better decisions.
Our team has helped organisations:
- Apply geospatial analysis in practical, commercial contexts
- Avoid common pitfalls in location-based decision-making
- Turn complex spatial data into clear strategic insight
That experience underpins everything we deliver, from software to consultancy.
Talk to us about geospatial analysis
Whether you are exploring spatial analysis tools for the first time or looking to strengthen an existing approach, GMAP can help.
Speak to our team
to discuss how our geospatial analysis platform, software and expertise can support your organisation’s location-based decisions.
FAQs
Do I need technical expertise to use GMAP's geospatial analysis tools?
No. GMAP's platform is designed for business decision-makers, not just technical specialists. While our tools are powerful enough for complex spatial analysis, they're built to be accessible to teams without deep GIS or data science backgrounds. We also provide consultancy support to help you get the most from your analysis.
What data do I need to get started?
If you have customer data, service records, or operational information linked to postcodes, addresses, or geographic areas, you already have what you need. GMAP can also provide additional location-linked data to enrich your analysis where required.
How long does it take to get up and running?
In most cases, organisations can begin generating geospatial insights quickly, especially where relevant data is already available. Access to the platform and core spatial analysis tools can be set up promptly, allowing teams to start exploring location-based data without lengthy implementation cycles.
Our Client Services team supports onboarding with structured guidance and training, ensuring users understand how to apply geospatial and spatial analysis tools effectively within their specific business context.
More complex projects, such as bespoke data integration or consultancy-led network analysis, will follow a clearly defined implementation plan agreed at the outset.
How quickly can we expect to see meaningful results?
It all depends on the scope of the work and the data you already have. If your customer, sales or network data is ready to use, we can often identify useful insights early on. This might include spotting gaps in coverage, areas of underperformance or opportunities for improvement.
Longer-term results, such as stronger network performance or better location decisions, come as those insights are applied in practice. Our team focuses on making sure the analysis leads to clear, practical actions.
Can GMAP integrate with our existing systems and data?
Yes, our Geospatial packages are designed to sit amongst your existing data- and tech-stacks. Our experienced team will be able to advise how you can get the most value out of our software and toolkits.
How much does it cost?
Pricing depends on your organisation's specific needs, the scale of analysis required, and the level of support you need. Contact our team
for a discussion about your requirements and a transparent quote.
What's the difference between GMAP’s toolkits and traditional mapping or GIS software?
Traditional GIS software packages are highly powerful but often complex to use. They often require experienced technicians to operate them effectively. GMAP’s tailored software and Geospatial tools are specifically designed to allow you to produce high quality output in the minimum number of steps.
What’s the difference between spatial analysis and geospatial analysis?
Spatial analysis and geospatial analysis are closely related and are often used interchangeably, but there is a subtle distinction.
Spatial analysis is the broader term, and it refers to analysing data based on its position in space. That could apply to many fields, including engineering, environmental science or urban planning, and doesn’t always require geographic coordinates.
Geospatial analysis, on the other hand, specifically involves data that is tied to real-world geographic locations, such as postcodes, catchments, territories or map coordinates. In a commercial context, geospatial analysis focuses on understanding patterns, performance and opportunity across actual places. In practical business use, particularly in retail and automotive network planning, the two terms are often used to describe similar activities: analysing location-linked data to support better decision-making.
