SIGMATIC Public Sector | Housing and Net Zero
Creating a governed regional data platform for housing retrofit and net-zero delivery.
A regional public-sector organisation needed a reliable way to bring together housing, retrofit, environmental and building-performance data from multiple councils, delivery partners and technology providers.
Sigmatic Analytics supported the development of a governed data foundation that standardises fragmented submissions, improves data quality and provides authorised users with a consistent view of programme delivery and outcomes. The platform supports regional oversight while ensuring that individual councils can securely access and analyse only the information relevant to their own area.
The organisation has been anonymised, and selected metrics have been rounded or expressed as ranges to protect commercial and operational confidentiality. Sigmatic supported the wider programme alongside internal teams and delivery partners.
source types unified: smart-meter, environmental telemetry, indoor-air-quality, temperature, building-management and operational programme data.
constituent councils supported by one regional model, alongside the central programme team and delivery partners.
of property, building, intervention and programme records represented across the platform.
data-quality controls spanning completeness, consistency, duplication, reference-data alignment, permissible values and reporting readiness.
provisional estimated reduction in recurring manual validation, reconciliation and submission-preparation effort.
reporting preparation, previously a multi-day reconciliation task, now supported in under a working day given timely source data.
provisional target and observed submission completeness on key datasets after standardised templates and validation.
council-level reporting: each authority sees only its own area, while authorised regional users keep an aggregated programme view.
About these results: Operational-effort improvements are estimated by comparing the previous manual preparation and validation process with the current automated workflow across recurring reporting cycles. Figures have been rounded to protect programme confidentiality.
The programme
A combined authority, seven councils and a network of delivery partners
The programme brings together a combined authority, its seven constituent councils and a wider network of delivery partners working across housing retrofit, energy efficiency and place-based decarbonisation.
The organisation required a central data capability that could support both immediate programme reporting and the longer-term evaluation of environmental, financial, operational and social outcomes.
Relevant information was being generated across multiple systems and organisations: property records, retrofit interventions, delivery milestones, smart-meter readings, environmental telemetry, indoor temperature, air-quality measurements, building-management-system data and submissions from external programme partners. Without a common data foundation, the programme faced a risk of inconsistent definitions, incomplete submissions, duplicated records and a heavy reliance on manual reconciliation.
The challenge
Fragmented data was limiting programme visibility
Regional retrofit programmes generate data across numerous organisations, technologies and delivery stages. Individual councils and delivery partners often use different operational processes, templates, identifiers and reporting structures. Sensor and telemetry information may arrive at a different frequency and level of detail from manually maintained programme submissions.
The organisation therefore needed to address several related challenges:
- Data arriving through more than six source types and submission routes.
- Inconsistent property, project and intervention identifiers.
- Differing levels of completeness between councils and partners.
- Repeated manual validation and reconciliation.
- Limited visibility of errors until reporting deadlines.
- Difficulty combining operational delivery data with environmental and building-performance information.
- The need to maintain both a regional view and council-specific access.
- A requirement for traceable and reusable data models.
- Growing demand for evidence of programme outcomes, not only activities completed.
The platform had to support practical programme delivery while establishing a foundation that could evolve as further schemes, datasets and analytical requirements were introduced.
Our role
How Sigmatic supported the programme
Sigmatic Analytics provided specialist data-engineering and platform support as part of the wider programme-delivery team. The engagement focused on transforming fragmented source data into governed, reusable datasets that could support regional monitoring, council-level reporting and future analytical use cases.
- Supporting the ingestion of data from multiple councils, delivery partners and technology providers.
- Standardising source files, submission templates and operational records.
- Creating reusable transformation patterns across the platform.
- Developing curated data models for properties, measures, projects, monitoring and programme performance.
- Implementing automated data-quality and validation controls.
- Supporting exception reporting so incomplete or invalid submissions could be identified earlier.
- Integrating smart-meter, telemetry, indoor-air-quality, temperature and building-management-system data.
- Modelling data from the programme's delivery and environmental-monitoring platforms.
- Establishing consistent reference data and identifier-matching approaches.
- Supporting secure reporting through role-based access controls.
- Developing a comprehensive dashboard for regional and council-level programme oversight.
- Providing ongoing technical support as programme requirements and source systems evolved.
The work was delivered collaboratively with programme leads, internal data teams, council stakeholders and other specialist delivery partners.
Data sources
Bringing together operational and building-performance data
Programme and delivery data
- Council and delivery-partner submissions
- Retrofit projects and interventions
- Property and building records
- Delivery milestones and status
- Funding and programme classifications
- Measure-level records
Smart-meter data
- Energy-consumption readings
- Usage patterns over time
- Before-and-after analysis where data allows
- Property and meter matching
Environmental telemetry
- Indoor and external observations
- Time-series monitoring data
- Device-level readings
- Completeness and sensor-health indicators
Indoor air quality and temperature
- Internal temperature
- Humidity
- Air-quality indicators
- Comfort and building-performance measures
Building-management systems
- Building-system telemetry
- Heating and energy-system performance
- Operational readings from monitored assets
Delivery platforms
- Programme delivery information
- Environmental and sensor monitoring
- Additional operational files, APIs and structured submissions
Solution architecture
A governed, reusable data foundation
The platform was designed around a layered data architecture that separates raw source information from validated, standardised and reporting-ready data. This retains source records for traceability while providing programme users with consistent, trusted analytical models.
The organisations and systems that generate programme, property and sensor data.
Files, structured submissions, APIs, smart meters, telemetry and building systems.
Source-aligned records retained for traceability and reprocessing.
Schema checks, completeness checks, duplication controls, reference-data matching and business-rule validation.
Properties, buildings, projects, measures, delivery status, sensors, environmental performance and programme outcomes.
Regional programme view, individual council views and reusable reporting datasets.
Role-based programme dashboard, exception monitoring, delivery reporting and analytical outputs.
Architecture principles
- Traceability back to the original source.
- Reusable data-engineering patterns.
- Separation of raw and reporting-ready data.
- Standardised definitions across authorities.
- Automated quality controls.
- Secure role-based access.
- Support for both batch submissions and higher-frequency telemetry.
- Extensibility for new programmes and datasets.
Data quality
Automating quality controls across fragmented submissions
Data quality was treated as an operational capability rather than a one-off cleansing activity. A framework of automated validation controls runs across the pipeline, helping identify issues before they reach final reporting outputs and aligning submissions with programme and retrofit reporting standards such as PAS 2035.
Invalid or incomplete records can be separated for investigation without preventing valid data from continuing through the reporting process. This reduces the need for analysts to repeatedly inspect entire datasets and lets teams focus on the exceptions that require attention.
Data models and reporting
One regional view with secure council-level access
The platform supports several reusable data models covering property and building information, retrofit projects, measures and interventions, programme status and delivery milestones, council and delivery-partner submissions, smart-meter readings, environmental telemetry, indoor-air-quality and temperature monitoring, building-performance indicators, and data-quality and submission exceptions.
A comprehensive programme dashboard brings these models together into a consistent reporting experience. Role-based access controls ensure that each council can access its own detailed information, while authorised regional users can view aggregated performance across the entire programme. This gives local teams relevant operational insight without creating separate, inconsistent reporting solutions for each authority.
Outcomes
Improving reporting, governance and regional visibility
Reduced manual validation
Automated quality controls and standardised ingestion patterns are estimated to have reduced recurring manual validation effort by roughly 50-60%. Analysts can focus on identified exceptions rather than repeatedly reviewing complete submissions.
Faster programme reporting
Reporting preparation that previously required several days of consolidation and reconciliation can now be supported in under a working day, subject to the timely receipt of source data.
Greater submission completeness
Standardised structures, clearer validation feedback and automated exception identification have contributed to an estimated 15 to 20 percentage-point improvement in submission completeness, with key datasets reaching more than 90%.
Consistent reporting across seven councils
The platform supports a common regional model while retaining appropriate council-level data separation, reducing the risk of each authority developing different definitions, calculations and reporting processes.
Better traceability
Curated outputs can be traced back to their originating source submissions, improving confidence in reported figures and making reconciliation easier.
More frequent insight
Formal programme reporting can be refreshed monthly, while selected smart-meter, telemetry and monitoring datasets can be processed daily or more frequently where source availability permits.
A foundation for outcomes analysis
Bringing operational, property and building-performance data together creates a foundation for evaluating not only what interventions have been delivered, but their potential effect on energy use, building performance, indoor conditions, resident comfort, carbon reduction, programme efficiency and funding decisions.
Impact
From fragmented submissions to regional intelligence
The engagement shows how a governed data platform can help complex public-sector programmes move beyond manual reporting and isolated spreadsheets. By bringing operational, property, energy and environmental data together, the organisation is developing a more complete view of programme delivery across the region.
The resulting platform provides a scalable foundation for operational monitoring, regional decision-making, funding evidence and future housing-intelligence use cases.
Wider relevance
A repeatable model for place-based programmes
The challenges addressed through this programme are not unique to a single region. Combined authorities, local authorities and central-government programmes frequently need to coordinate information across multiple organisations while maintaining common definitions, appropriate access controls and a reliable audit trail. The delivery approach can be adapted for:
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The wider case for a governed outcomes platform in regional housing and net-zero delivery.
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This case study describes an anonymised public-sector engagement. Delivery was undertaken collaboratively with the client's internal teams and other programme partners. Statistics are rounded or expressed as ranges and reflect the position at the time of writing.