Use cases
Data quality and compliance for wastewater networks.
Accurate and reliable asset information enables organisations to better understand their networks, make informed operational decisions and maintain confidence in the data used throughout the asset lifecycle.
Dotic's solutions combine two complementary areas of expertise: a deep understanding of wastewater network operations and advanced capabilities in asset data management, GIS and data quality assurance.
Following construction projects, inspections or field survey campaigns, collected asset data must be integrated into the organisation’s GIS and asset management systems. In practice, however, this information often contains data quality issues such as inconsistencies, structural errors, missing attributes or discrepancies between recorded information and actual field conditions.
In addition, although asset data standards and best-practice data models exist to support the management of wastewater and stormwater networks, their implementation often varies between utilities, contractors, engineering consultancies and survey providers.
These differences in data collection methods, formats and quality requirements can lead to fragmented and inconsistent datasets.
As a result, data quality control becomes a critical step in ensuring that asset information is accurate, consistent and interoperable before it is integrated into operational systems and used to support network management activities.
Complex and fragmented asset data
Wastewater and stormwater networks are built around complex and interconnected infrastructure, including:
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gravity sewer systems
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stormwater drainage networks
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manholes, pipelines and service connections
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specialised assets such as overflow structures, retention basins, pumping stations and outfalls
These assets must be managed using data that accurately reflects real-world network conditions.
In practice, however, organisations often face significant data quality challenges:
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asset records may be incomplete or outdated
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data formats can vary between contractors, survey providers and engineering teams
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asset information may follow different structures and levels of detail
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data management standards and quality requirements are not always applied consistently
These inconsistencies make wastewater networks more difficult to manage, reduce confidence in asset information and increase the risk of operational errors during maintenance, inspections and infrastructure projects.
Improving data quality and consistency is therefore essential to building a reliable foundation for effective wastewater network management.
Identifying data quality issues in wastewater network information
Data quality control helps identify a wide range of issues that can affect the reliability and usability of wastewater network information.
Common issues include:
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topological inconsistencies, such as incorrect flow direction or invalid network connections
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data structure and modelling errors
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missing, incomplete or inaccurate asset attributes
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non-compliance with defined asset data standards and quality requirements
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discrepancies between GIS records and actual field conditions
In wastewater and stormwater networks, these issues can have a direct impact on hydraulic analysis, operational planning, maintenance activities and the overall management of network assets.
Identifying and resolving data quality issues is therefore essential to maintaining accurate asset information and supporting effective network operations.
Verifying compliance of delivered asset data
Asset data standards play an important role in ensuring that wastewater and stormwater network information can be shared, integrated and managed effectively across different systems and stakeholders.
In practice, however:
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not all organisations use the same data standards or asset models
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asset information may be delivered in different formats and structures
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levels of data quality and compliance can vary significantly between projects and providers
As a result, asset data often needs to be validated, harmonised and improved before it can be integrated into GIS and asset management systems.
With Dotic’s solutions:
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asset data is analysed using ConnectControl based on configurable business rules and data quality requirements
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compliance issues and inconsistencies are identified automatically
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data can be corrected, enriched and standardised before integration
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teams gain clear visibility of overall data quality and compliance levels
This approach helps organisations build a more consistent, reliable and interoperable asset information system, even when working with data originating from multiple sources and suppliers.
Automating geospatial data quality control
Manual validation of wastewater network data is often time-consuming, complex and difficult to maintain consistently across large and evolving datasets.
With Dotic’s solutions:
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asset data is automatically analysed and validated using ConnectControl
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configurable business rules help detect inconsistencies and data quality issues
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identified anomalies can be classified and prioritised according to their operational impact
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automated quality control reports provide clear visibility of issues and compliance levels
The results can be visualised and analysed within ConnectServices, allowing teams to pinpoint data quality issues directly on network maps and investigate them more efficiently.
This automated approach reduces the time required for data validation while improving the consistency, reliability and overall quality of wastewater and stormwater asset information.
Ensuring continuity between field operations and asset data
Data quality control must remain closely connected to real-world field conditions. Visual inspections carried out through the ConnectField mobile application help verify the accuracy and reliability of information delivered by contractors, survey teams and project stakeholders.
With Dotic’s solutions:
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data collected through ConnectField is integrated directly into operational systems
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discrepancies between field observations and GIS records can be identified more easily
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corrective actions can be initiated quickly when issues are detected
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field and office teams work from the same shared source of information
This continuous connection between field operations and asset data helps ensure that wastewater network records accurately reflect the condition, location and configuration of infrastructure assets.
By combining field verification with automated data quality controls, organisations can strengthen confidence in their asset information, improve operational decision-making and support the reliable management of wastewater and stormwater networks.
Supporting reliable wastewater network operations
High-quality asset data is essential for the safe and efficient operation of wastewater and stormwater networks.
Reliable information enables organisations to:
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improve their understanding of network assets and infrastructure
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support faster and more effective field interventions
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reduce the risk of operational errors
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optimise maintenance and rehabilitation programmes
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make better-informed investment and asset management decisions
With Dotic’s solutions, data quality becomes an integral part of operational performance. By combining field verification, automated validation and GIS-based analysis, organisations can maintain accurate asset information throughout the lifecycle of their networks.
This structured approach helps wastewater operators strengthen network resilience, improve decision-making and maintain greater control over their infrastructure assets.
An integrated step in the wastewater network management lifecycle
Data quality control is a fundamental part of effective wastewater and stormwater network management, helping organisations maintain reliable asset information and support efficient operations.
In an environment where asset data is collected from multiple sources and managed through different processes, establishing a structured and automated approach to data validation is essential for maintaining consistency, accuracy and long-term data quality.
By combining automated validation, field verification and GIS-based workflows, wastewater operators can improve the reliability of their asset information, support more effective operational decision-making and strengthen control over their network assets throughout their lifecycle.
This integrated approach helps organisations improve network performance, enhance operational efficiency and maintain greater confidence in the data used to manage critical wastewater infrastructure.
Defect management and corrective action tracking
- Identify issues and track corrective actions through to resolution
Intervention planning and operational monitoring
- Organise and prioritise corrective actions in the field
Validation of completed works and infrastructure handover
- Validate completed works and identify issues directly in the field
