Use cases
Field Intervention Tracking and Quality Control of Operations
With extensive expertise in the fiber optic sector, Dotic’s solutions support network operators and infrastructure managers in tracking field interventions and ensuring quality, transparency, and operational control throughout deployment and ongoing network operations.
A Global Challenge: From Construction Monitoring to Network Operations
In FTTH projects, work monitoring goes far beyond simple construction oversight. It is part of a broader process that spans the entire infrastructure lifecycle, from network deployment to operational service delivery.
This process involves several key stages:
- monitoring work progress;
- verifying infrastructure compliance and quality;
- validating field-collected data;
- managing non-conformities and outstanding issues;
- planning and tracking corrective actions.
Effective management of these stages is essential to ensure network quality, maintain infrastructure compliance, and guarantee reliable, up-to-date data that supports efficient operations and informed decision-making.
Structure and Optimize FTTH Work Monitoring
Work monitoring is based on a set of complementary processes, each designed to address specific operational needs.
Combined, these processes provide a structured approach to monitoring field activities and ensure seamless continuity between field operations, quality control, and network management.
FTTH Work Completion Acceptance and Validation
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Monitor Deployment Progress, Document Field Activities, and Capture Field Data
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Ensure Infrastructure Compliance and Prepare for Network Deployment into Operations
Geospatial Data Quality Control
- Verify Data Compliance and Consistency Before GIS Integration and Use
Issue Management and Corrective Action Tracking
- Identify and Correct Detected Anomalies
Intervention Planning and Monitoring
- Organize and Prioritize Corrective Actions in the Field
Ensure Continuity Between Field Data, Operations, and Decision-Making
In FTTH projects, data is shared across multiple stakeholders—field teams, project managers, engineering offices, and network operators.
Key challenges include:
- preventing data loss
- ensuring consistency and reliability of data
- maintaining a unified, real-time view of the project
- tracking issues and corrective actions
- improving overall operational efficiency
A connected, data-driven approach enables seamless integration between:
- field data collection
- centralized data platforms
- data quality control
- operational management and decision-making
