Use case

FTTH Data Quality Control at Work Completion

At the end of FTTH deployment, infrastructure operators must provide structured and reliable datasets to the contracting authority to ensure seamless integration and operational use.

ConnectControl, Dotic’s data quality control solution, validates the quality of datasets delivered by contractors during fiber infrastructure deployment, ensuring reliable data for network operations and infrastructure management.

It enables transparent and collaborative workflows across all stakeholders involved in deployment and operational phases.

In practice, project deliverables frequently contain data inconsistencies or errors that can directly impact network performance if not detected and corrected early in the process.

Critical Data for Reliable FTTH Network Operations

At the completion of FTTH deployment, delivered datasets become the reference baseline for network operations and maintenance.

These datasets must be structured, standardized, and aligned with existing infrastructure data. However, the involvement of multiple contractors and project phases often creates gaps between delivered data and real-world field conditions.

These discrepancies can lead to:

  • errors in maintenance operations
  • difficulties in locating network assets
  • inconsistencies in GIS data
  • productivity losses for field and office teams

End-of-work data quality control is therefore essential to ensure reliable network operations and secure integration into enterprise information systems.

Ensuring Reliability and Transparency of Delivered Data

For public authorities or network owners, this process ensures the delivery of complete, structured, and reliable datasets aligned with project requirements.

For infrastructure operators, end-of-work data quality control guarantees that deployments comply with specifications and contractual standards.

ConnectControl improves efficiency by ensuring high data quality and enabling the creation of a reliable digital twin, accessible to all stakeholders—whether GIS experts or non-technical users.

This transparency enhances collaboration, streamlines communication, and secures the validation of project deliverables.

Identify and Classify Detected Anomalies

At the completion of FTTH deployment, delivered datasets become the reference baseline for network operations and asset management.

To be usable, this data must be structured, standardized, and consistent with existing infrastructure records. Yet, the complexity of field operations and the number of stakeholders often lead to discrepancies between collected data and real-world conditions.

These discrepancies can result in:

  • maintenance errors
  • asset localization issues
  • GIS data inconsistencies
  • inefficiencies for field and office teams

Implementing end-of-work data validation ensures high data quality, reliable network operations, and seamless integration into enterprise systems.

Automate Data Quality Control and Validation

Manual data quality control is time-consuming, complex, and error-prone.

Automated tools streamline these processes by validating datasets against business rules and data standards.

With ConnectControl, you can:

  • ensure data compliance and consistency
  • automatically detect data anomalies
  • generate actionable quality reports
  • secure seamless integration into GIS systems

This automation guarantees high-quality, reliable datasets that can be directly used by project teams to correct errors and continuously improve network performance.

Ensure Data Quality Before GIS Integration and Use

Data quality control goes beyond simple technical validation. It enables you to:

  • secure contractual deliverables
  • ensure compliance of completed work
  • prevent the propagation of errors into information systems
  • improve the quality of future field operations
  • maintain a reliable dataset for network operations

Well-validated data is usable over the long term and becomes a key lever for improving network management.

Key Steps in End-of-Work Validation and Acceptance

Data quality control is integrated into a broader workflow for managing FttH deployment and field operations:

Field Intervention Planning and Real-Time Monitoring

  • Plan and Prioritize Corrective Actions for Efficient Field Issue Resolution
Discover Our Telecom and FTTH Use Cases