Case Studies

Environment

+34%

Biodiversity Net Gain achieved

Spatial Habitat Modelling for a Major Infrastructure Corridor

A nationally significant infrastructure project faced complex planning requirements under the UK's mandatory Biodiversity Net Gain framework. ODEIS delivered a comprehensive GIS-based habitat assessment across a 47km corridor, modelling baseline ecological value, impact scenarios, and mitigation options. Our work informed planning approval and created a long-term monitoring framework now used by the developer and Natural England.

GIS & Remote Sensing Biodiversity Net Gain UKHAB Spatial Modelling

Public Health

−28%

Outbreak response time reduction

Infectious Disease Surveillance Dashboard for NHS Trust

An NHS trust operating across three hospital sites needed to consolidate fragmented infection surveillance data into a single, real-time intelligence platform. ODEIS built a Power BI-based dashboard integrating laboratory, ward admission, and environmental sampling data, with automated anomaly alerts. Response coordination time fell by 28% in the first six months post-deployment.

Power BI Epidemiological Surveillance NHS Data Automated Alerting

Data Science

92%

Predictive accuracy (hourly AQI)

Air Quality Predictive Model for Local Authority Network

Twelve urban boroughs sought to move from reactive monitoring to proactive public health management. ODEIS developed a machine learning model fusing satellite imagery, Copernicus atmospheric data, traffic sensor feeds, and meteorological records to forecast hourly air quality indices 24 hours in advance. The model now drives automated public alerts and informs planning decisions across the network.

Machine Learning Satellite Data Copernicus / ESA Public Health Alerts

Environment & Policy

£2.1M

Estimated annual savings identified

Catchment-Scale Water Quality Intelligence for Environment Agency

Diffuse agricultural pollution across a major river catchment was causing persistent Water Framework Directive compliance failures. ODEIS combined land use data, nutrient loading models, and hydrological records to pinpoint high-risk sub-catchments and estimate intervention costs versus compliance benefit. The resulting prioritisation framework now directs stewardship funding and enforcement resources.

Hydrological Modelling WFD Compliance Agricultural Data Catchment Prioritisation

Public Health

3.2×

Faster health needs assessment

Automated Health Needs Assessment Framework for Local Authority

A county council's public health team was spending an average of 14 weeks producing statutory health needs assessments. ODEIS built an automated data pipeline integrating ONS, NHS Digital, and OHID datasets with a templated reporting engine, reducing production time to under four weeks while dramatically improving the currency and granularity of insight available to commissioners.

ONS & NHS Digital Automated Reporting Health Inequalities OHID Integration

Data Engineering

60%

Reduction in manual data processing

Unified Environmental Data Platform for Research Consortium

A multi-institution research consortium was managing ecological survey data across eleven incompatible formats and four separate databases. ODEIS designed and built a unified cloud data platform with standardised ingestion pipelines, a master data catalogue, and role-based access controls — enabling cross-institutional analysis at scale for the first time.

Cloud Architecture Data Cataloguing ETL Pipelines Research Data Management

Environment & Regulatory

3 Jurisdictions

UK · Gulf of Mexico · Nigeria — comparative regulatory analysis

NORM Waste Management in Oil & Gas Decommissioning: A Multi-Jurisdictional Regulatory Intelligence Study

An upstream decommissioning contractor operating across the UK Continental Shelf required a rigorous, evidence-based understanding of how naturally occurring radioactive material (NORM) waste regulations, treatment technologies, and enforcement practices compared across the UK, United States (Gulf of Mexico), and Nigeria — ahead of a major multi-site decommissioning programme.

ODEIS conducted a multi-jurisdictional regulatory intelligence study using an embedded multiple case study design. Seven organisations were engaged through in-depth semi-structured interviews — three UK-based NORM treatment and waste management operators, three Gulf of Mexico specialists, and one Nigerian regulatory body — with data analysed using cross-case synthesis techniques to surface regulatory gaps, enforcement disparities, and best-available treatment benchmarks.

Key findings established that UK NORM regulation — anchored in the Waste Framework Directive, OSPAR Convention, and the Radioactive Substances Act — represented the most clearly defined and rigorously enforced framework of the three regions, with ALARA (As Low As Reasonably Achievable) principles embedded at every stage of the decommissioning lifecycle. Gulf of Mexico practices varied significantly by state. Nigeria's framework, while comprehensive in scope, was found to lack consistent enforcement mechanisms and technical specificity for NORM decontamination procedures.

The study produced a structured disposal and treatment options matrix — covering ultra-high-pressure water jetting, chemical decontamination, downhole injection, controlled incineration-to-energy, and compaction technologies — enabling the client to select and document technically defensible disposal routes for each asset class in their decommissioning programme. The regulatory gap analysis was subsequently used to inform the client's supply chain requirements and their NORM management plan submission to the relevant competent authority.

NORM Waste Management Oil & Gas Decommissioning Regulatory Intelligence Cross-Case Synthesis Waste Framework Directive OSPAR Convention ALARA Compliance