Mapping - GIS: Understanding and optimizing the use of your geographic data
A Geographic Information System (GIS) enables the structuring and use of data linked to a specific location (networks, assets, zones, infrastructure). In practice, GIS mapping tools help visualize assets, organize data, and access information more quickly. These solutions provide shared reference points to support better decision-making.
At Dotic, we combine domain expertise, tailored solutions, and custom development to help our clients unlock greater value from their geographic information through GIS: structuring data, clarifying use cases, improving readability, facilitating sharing, and making geographic information truly useful on a daily basis.
What is GIS concretely used for within an organization?
The goal: to turn your geospatial data into actionable insights — not just maps.
- Visualize assets on a map (networks, equipment, areas),
- Access location-based information (records, attributes, history),
- Search and filter (by type, status, area, business criteria),
- Share a clear view across teams,
- Manage and monitor operations (prioritize, plan, track)
À quoi sert concrètement le SIG au sein d’une organisation ?
- Télécommunications : lecture du réseau, suivi d’évolutions, partage entre acteurs.
- Énergie / électricité : localisation d’équipements, préparation d’interventions.
- Éclairage public : inventaire, suivi d’état, priorisation.
- Eau / assainissement : visualisation de réseaux, appui au diagnostic et aux actions.
- Voirie : repères partagés, coordination, priorisation des travaux.
Key features of a GIS solution
Find information quickly
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Search by business-specific criteria
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Filters and direct access to asset records
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Smooth navigation (no time wasted)
Clearly visualize your geospatial data
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Clear, readable layers and themes
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Simple reference points (zones, perimeters, sectors)
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Displays that are easy to understand for non-expert users
Keep your data up to date
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Capture ongoing changes
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Ensure long-term maintenance
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Maintain consistency and clarity of updates
Share a common view
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Easy access to maps
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User roles and permissions (based on the organization)
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Shared reference points across all teams
Support decision-making and operations
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Identify priorities
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Track actions and status
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Provide a clear, high-level view for decision-making
How to choose your GIS mapping software?
This is precisely where domain expertise makes all the difference, and where we come in: a high-performing software solution that isn’t aligned with actual use cases will remain underutilized, leading to costs that don’t deliver value.
If you are comparing multiple solutions, here are a few simple criteria that make the difference:
- Readability: is the map understandable for non-specialists?
- Search & filters: can you find information in seconds?
- Sharing: can you easily share a clear view without complexity?
- Adoption: will teams actually use it?
- Management: can the organization maintain and update the data over time?
- Support: is there an expert who can guide you and adapt the solution to your business needs?
An approach based on the combination of GIS and data expertise
At Dotic, we take a comprehensive approach tailored to organizations that want a GIS solution aligned with their needs and truly used in practice.
Domain expertise: guide, clarify, and prioritize
We help our clients to:
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Clarify objectives and user needs
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Define simple, easy-to-understand reference points
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Prioritize what delivers value quickly
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Implement practices that make geospatial data easier to use on a daily basis
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Structure and model geospatial data
Solutions: turning these use cases into reality
We develop solutions that enable you to:
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Transform and map your data, moving from a “proprietary” structure (your own internal model) to standardized formats
Example: converting CAD formats (DWG) into GIS formats (Shapefile, GeoPackage, KML) -
Visualize and share geospatial data
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Update information as close to the field as possible
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Improve data reliability to reduce ambiguity
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Manage operations with a clear, structured view, using key indicators (KPIs) and AI-powered data analysis
The goal is not to stack features, but to ensure that the implemented GIS solution becomes a trusted reference tool within the organization.