FME and workflow automation
Build repeatable workflows, process multiple data sources, apply conditional logic and create reliable outputs.
Training and courses
Build practical spatial capability.
Training is available for organisations and individuals who want to work more confidently and effectively with spatial data, from beginner foundations to advanced, organisation-specific workflows.
Training built around how people work
Typical exercises or your organisation’s own data.
Generic training can provide a strong foundation. Organisation-specific training can go further by focusing directly on the tools, datasets and workflows your team uses every day.
Delivery can be in person or remote, for individuals or teams, through short focused sessions or broader learning programmes.
Training can be tailored for
- Beginners through to advanced users
- Individuals or teams
- In-person or remote delivery
- Typical datasets and practical exercises
- Organisation-specific datasets and workflows
Areas of training
Tools, workflows and data quality.
ArcGIS Pro and QGIS
Develop practical skills in data management, editing, analysis, visualisation and workflow design.
Spatial data quality and validation
Assess data, apply validation rules, identify issues and create more reliable datasets.
Organisation-specific GIS workflows
Work directly with your own information and processes to improve confidence, consistency and everyday delivery.
Frequently asked questions
Practical details.
Can training use our own data?
Yes. Organisation-specific training can be built around your datasets, systems, workflows and objectives.
Is training available remotely?
Yes. Training can be delivered remotely or in person, depending on the requirements of the organisation and the nature of the work.
Is training suitable for beginners?
Yes. Content can be adapted from beginner through to advanced levels.
Do we need to know exactly what training we need?
No. A conversation about your team, current workflows and desired outcomes is often the best place to start.
Build training around your team and data.
Tell us what your team is working with, where the current challenges are and what you would like to improve.
Start a training conversation