GIS structuring, modeling and management of geographic data for fiber optic networks (FTTH - FTTB - FTTE - FTTO)

Icone Wifi

Fiber optic networks are built step by step through several phases, including field surveys and engineering studies. In many countries, after the period of massive deployment, the main challenge now lies in the operation, maintenance, and evolution of the networks.

In this context, geographic data is no longer simply a final deliverable produced at the end of construction works. It has become an operational asset, used on a daily basis to operate the network, plan extensions, manage maintenance activities, and ensure service continuity.

This page explains how to structure, qualify, and leverage the data of a fiber optic infrastructure throughout its lifecycle, relying in particular on data models and on a GIS toolchain — including ConnectControl, ConnectServices, and ConnectField — designed to meet the needs of both public and private network operators.

Explore Real-World Use Cases for Processing and Maximising the Value of Fiber Optic and FttH Network Data

Why geographic data is critical in FTTH/FTTE projects

Fiber optic networks are characterized by a very high density of assets, continuous changes (connections, extensions, repairs), and multi-stakeholder operations involving operators, public authorities, and subcontractors.

Geographic data, and its effective use, becomes the common foundation throughout the entire lifecycle of networks.

Poorly structured or poorly managed data leads to network performance issues and often results in additional costs related to:

  • Operational intervention difficulties and reduced reliability of certain connections

  • Loss of knowledge about network information

  • Higher corrective maintenance costs compared to preventive maintenance

  • Inability to plan network evolutions and make the best decisions

What types of geospatial data are used for fiber optic networks? ? 

Functional and relational data 

  • Upstream / downstream relationships

  • Occupancy and spare capacity

  • Network continuity

  • Unique identifiers and naming conventions

  • Distance between the Central Office (CO) / Optical Line Terminal (OLT) and the Fiber Distribution Point (FDP) – attenuation calculations

  • Fiber availability (for network expansion)

  • Distribution point saturation

Infrastructure and network 

  • Fiber optic cable routes

  • Optical paths

  • Fibers and capacity

  • Fiber Distribution Points (FDP), Fiber Distribution Hubs (FDH), Central Office / OLT site

  • Manholes, ducts and poles

  • Connection points and service drops

Operational data 

  • Infrastructure status

  • Intervention history

  • Maintenance data

  • Responsibility areas

A software suite designed to ensure the reliability, quality and value of geospatial data

Solutions available as SaaS or integrated into your information system, giving you full autonomy to digitize, qualify and leverage your data

Collect

Collect your data and ensure the reliability of your datasets with our mobile GIS application

Leverage

Visualize, edit, manage and analyze your infrastructure data with our web GIS platform

Validate

Model, structure and validate the quality of your infrastructure data

Explore

Query your data using natural language with an AI designed for GIS

Discover use cases for our GIS solutions dedicated to fiber network data management and analytics

Key challenges of geospatial data for FTTH - FTTE fiber optic networks

Daily network operations and maintenance 

Once the network is in service, data becomes an operational lever used to:

  • accurately locate infrastructure assets

  • prepare field interventions

  • monitor incidents

  • coordinate field teams and stakeholders

Objective :

Moving from “delivered” data to living, operational data

Ensure data continuity and long-term sustainability

  • Operator change

  • Takeover by public authorities

  • Evolution of standards and tool

Objective :

Ensure standardized, transferable, and sustainable data over time

Having qualified and reliable data

The deployment phase generates large volumes of data produced by multiple stakeholders.

Challenge:
Imprecise or outdated data generally leads to inaccurate asset locations during field interventions and uncertainties about the actual state of the network, which weakens maintenance and renewal decision-making.

  • Ensure that the data complies with industry quality standards and the operator’s internal reference frameworks

  • Detect inconsistencies

  • Objectively validate delivered datasets

This is an essential step to build reliable network operations.

Supporting network extensions and evolution 

FTTH networks continue to evolve, whether through additional connections, area extensions, or adaptations to new usage needs.

Challenge:

  • Integrate these evolutions without degrading data quality

  • Maintain the overall consistency of the network

A software suite designed to ensure the reliability, quality and value of geospatial data

Solutions available as SaaS or integrated into your information system, giving you full autonomy to digitize, qualify and leverage your data

Collect

Collect your data and ensure the reliability of your datasets with our mobile GIS application

Leverage

Visualize, edit, manage and analyze your infrastructure data with our web GIS platform

Validate

Model, structure and validate the quality of your infrastructure data

Explore

Query your data using natural language with an AI designed for GIS

Data quality and reliabilitys : a strategic foundation for FTTH infrastructure management

In fiber network projects, controlling data helps to:

  • Improve the reliability of decisions

  • Secure payments

  • Provide objective exchanges between stakeholders

  • Reduce rework and disputes

Une expertise reconnue 

Dotic has proven expertise in fiber data quality control and qualification, developed through collaborations with:

  • major infrastructure operators

  • local authorities and public utility associations

  • national stakeholders involved in broadband deployment governance

Do you want to transform your geographic data into a true operational and decision-making tool? 

  • Qualify, structure and ensure the reliability of your geospatial data

  • Ensure consistency between your field data and your digital reference systems

  • Operate and maintain your fiber infrastructure throughout its lifecycle

  • Secure network evolutions and extensions

FAQ – GIS Data for Fiber Networks (FTTX, FTTH, Data Quality Control)

Why use a GIS to manage a fiber optic network?

A GIS is essential for managing a fiber optic network because it enables the structuring and visualization of an extremely dense and complex asset base. An FTTH network includes many interconnected objects such as central offices, distribution hubs, fiber distribution points, cables, fibers, and civil engineering infrastructure. Simple cartographic representation is not sufficient: it is also necessary to manage the relationships between equipment, capacities, spare fibers, and network continuity rules. A GIS therefore becomes the reference system for understanding, operating, and evolving the network. It helps prepare field interventions, monitor deployments, and ensure long-term consistency of the infrastructure.

Why is data quality so critical in FTTH networks?

In FTTH projects, geographic data is often used as proof of deployment progress, a management reference, and sometimes even as a contractual baseline. GIS datasets produced during deployment contain very large volumes of data and must comply with complex structuring and consistency rules. Incorrect data can lead to operational difficulties, delays in validation, or misunderstandings between stakeholders. Data quality is therefore a strategic issue, as it directly determines the ability to efficiently operate the network once it has been deployed.

Why control GIS deliverables in an FTTH project?

GIS deliverables form the reference foundation for operating and maintaining a fiber network. When they are produced by multiple contractors or engineering companies, it is essential to verify their consistency and compliance before integration. Data quality control helps detect errors, secure contractual exchanges, and prevent anomalies from propagating into the network database. It also makes it possible to objectively assess the quality of delivered datasets and ensure their long-term usability.

How can fiber network data be used after deployment?

Once the network is deployed, GIS data becomes a central tool for operations and maintenance. It allows precise localization of infrastructure assets, preparation of field interventions, and monitoring of network evolution. The data can also be used to analyze infrastructure occupancy, plan extensions, and manage maintenance operations. A WebGIS platform such as ConnectServices makes it possible to visualize and share this information between network stakeholders, facilitating operational coordination and management.

How can FTTH data be kept up to date over time?

Fiber networks continue to evolve after their initial deployment. New connections, network extensions, and technical interventions regularly modify the network structure. To maintain reliable data, it is necessary to capture field updates, verify their consistency, and integrate them into the network database. ConnectField enables direct data collection in the field, while ConnectControl ensures validation before integration. ConnectServices then allows the consolidated data to be shared and exploited through a WebGIS environment.

Why structure FTTH data according to a standard?

Structuring FTTH data according to a standard, such as French example GraceTHD, ensures data consistency and long-term sustainability. It facilitates data exchanges between stakeholders, reduces ambiguities in network representation, and limits risks associated with changes in tools or contractors. Standardized data is easier to analyze, manage, and transmit over time.

Are Dotic solutions used by fiber infrastructure operators?

Yes. Dotic solutions are used by many actors in the fiber sector, including infrastructure operators and public authorities involved in FTTH projects. They help structure, control, and operate network data with a focus on reliability and long-term sustainability. ConnectControl is particularly recognized for fiber data quality control, while ConnectServices enables network operations and management through a WebGIS platform.