Strategic Geospatial Consultancy
Focus on helping organisations move from ideas to implementation, and from manual, paper-based processes to efficient digital workflows.
Review current ways of working and identify where digital improvements will deliver the greatest return on investment.
Define how digitalisation creates measurable value, such as cost savings, faster delivery, improved quality, and reduced risk. Move beyond technical specifications to quantify expected benefits and operational savings.
Support the preparation of tender documents, evaluation of proposals, and selection of suitable suppliers for large-scale programmes.
Design end-to-end workflows that connect field data capture, office processing, and client reporting, reducing manual steps and delays.
Assess data quality, governance, and workflows to confirm whether an organisation is ready for machine learning or AI-based analytics.
Focus on designing and implementing national and entity spatial data infrastructures (SDI and NSDI), applying internationally recognised methodologies such as the UN-GGIM and World Bank Integrated Geospatial Information Framework (IGIF), and drawing on experience supporting various government programmes.
Define mandates, roles, decision processes, and implementation plans aligned with IGIF good practice and international standards, including the ISO 191xx series and Open Geospatial Consortium (OGC) standards.
Define requirements and governance for foundational geospatial layers, coordinate systems, and the geodetic reference frame so all stakeholders work from a consistent national position.
Establish a practical approach for combining data from multiple organisations into a consistent and interoperable foundation, for example across utilities, municipalities, transport authorities, and regulators.
Define standards profiles and implementation rules (for example metadata, services, data models, and exchange formats such as GML, JSON or GeoJSON where relevant), so data remains compatible with future systems and government platforms.
Focus on building shared understanding and implementation-ready specifications for geospatial infrastructures and programmes by modelling processes, information structures, and interfaces in a clear and standards-based way.
Develop UML-based information models (for example use cases, class diagrams, and code lists) that define objects, attributes, relationships, identifiers, and business rules. This provides a stable basis for data product specifications, exchange formats, and database design.
Map and improve end-to-end workflows using BPMN, clarifying roles, inputs, outputs, approvals, and handovers. This supports governance, service design, and automation of key processes across organisations.
Translate stakeholder needs into clear functional requirements and integration patterns, including system context, interfaces, and data flows across platforms and organisations.
Turn models into procurement-ready documentation, including data dictionaries, validation rules, metadata requirements, and acceptance criteria that suppliers can implement and clients can verify.
Use 3D modelling and GIS to visualise "what-if" scenarios for urban planning, environmental risk, and infrastructure development, and define how these models can evolve into operational digital twins with live updates, predictive insights, and growth simulations.
Focus on governance and leadership for complex, multi-stakeholder programmes where delivery quality, risk control, and alignment matter.
Act as an independent advisor to protect the client's interests during GIS and digital transformation delivery, including contractor oversight and acceptance support.
Coordinate multiple workstreams so activities, timelines, and dependencies stay aligned with the overall strategy.
Deliver workshops and training for senior management to support ownership, adoption, and long-term capability.
Establish risk controls and quality assurance routines so outputs meet agreed requirements and can be accepted with confidence.
Focus on independent analysis that supports investment decisions, prioritisation, and programme design.
Assess the economic and operational impact of adopting new geospatial technologies and approaches.
Identify spatially driven risks affecting infrastructure, operations, and environmental exposure.
Prepare decision-ready reports that assess sector readiness and define practical steps towards sustainable digital change.
Review the status of coordinate systems, geodetic reference frame, control networks, and base mapping programmes, and recommend practical improvements for consistent positioning and reliable national datasets.