Your
Spatial
Data
Partner
We are expert spatial data partners providing advice and guidance to a range of asset owners. From homeowners to land owners, developers and mine owners, our consultancy provides reassurance around risk mitigation, spatial data foundations and how best to unlock the potential of their assets.
RM Surveys consultancy service empowers our clients with expert guidance and technologies to unlock the potential of their assets, and we work as your partner throughout the project’s lifespan.
RM Surveys can recommend digital workflows that will work best in a consultant environment. We understand the challenges our clients face with end-to-end asset management digitisation, and we are data-agnostic, enabling us to work to the needs of your asset.
Spatial Foundation
A spatial data foundation at the start of a project lays the groundwork for successful project execution by providing essential information, facilitating informed decision-making, and enabling proactive risk management and stakeholder engagement.
A spatial data foundation is crucial at the start of a project for several reasons:
- Site selection & feasibility studies based on factors such as accessibility, environmental impact, and zoning regulations.
- Optimised design and planning that considers site constraints, infrastructure, and surrounding environment.
- Risk assessment and mitigation allowing stakeholders to develop proactive strategies for risk mitigation and contingency planning.
- Stakeholder engagement and communication through data visualisation.
- Reduce project costs and shorter project timelines by identifying cost-saving opportunities, optimising resource allocation, and streamlining workflows.
Spatial Data Management Plan
A Spatial Data Management Plan (SDMP) outlines a project’s procedures, standards, and protocols for managing spatial data.
It serves as a roadmap for collecting, storing, analysing, and sharing geographic information efficiently and effectively.
The plan typically includes guidelines for data acquisition, quality assurance, metadata creation, storage infrastructure, data access and sharing policies, and data security measures.
By defining clear workflows and responsibilities, an SDMP ensures repeatability, consistency, accuracy, and interoperability of spatial data across different departments or stakeholders. It also promotes compliance with industry standards and regulatory requirements, facilitating informed decision-making and optimising resource allocation in spatial data management initiatives.
