This case study shows how SBL turns operational complexity into a governed digital operating model where workflow, data, quality and decisions can be managed together.
The institutional challenge
- Distinct Areas across Scotland and Wales mapped since 2018.
- Data Obsolescence: Existing elevation data lacked the resolution and currency required for accurate hydrodynamic flood simulations.
- Geographic Complexity: Mapped areas spanned diverse terrains across Scotland and Wales, requiring consistent accuracy across vast, varied landscapes.
What SBL engineered
- Converted physical, geospatial and asset evidence into structured spatial intelligence.
- Applied GIS, BIM, LiDAR or mapping workflows with accuracy controls and governance-ready outputs.
- Delivered decision-ready models that support infrastructure planning, conservation, inspection or asset management.
- Consult & Align: Defining horizontal and vertical accuracy benchmarks for DSM and DTM outputs.
- Workflow Setup: Establishing a specialized geospatial team to manage the massive data throughput for 38 unique districts.
How the work should be understood
SBL's role is not limited to executing a task. The value comes from understanding the operating workflow, engineering the data and automation layer, applying governance controls, and helping the institution move from manual dependency to intelligent, measurable operations.
