Enterprise Decision Intelligence

Enterprise data workflows modernized for a Spanish data provider

A productised geospatial operations model for modern urban planning and land management. Powered by SBL's governed delivery platform, governing the conversion of paper-based georeferenced drawings into high-fidelity CAD formats with integrated attribute mapping.

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

  • Static Data Hurdles: Outdated paper maps made it difficult for stakeholders to perform real-time land use planning or property tax assessments.
  • Attribute Complexity: The need to not just modernize lines, but to "enrich" every plot with vital metadata like zoning classifications and area sizes.
  • Cross-Platform Utility: Ensuring the final digital maps were compatible with modern urban planning software (Bentley) used by various Spanish municipalities.

What SBL engineered

  • Re-engineered the workflow around data capture, validation, exception handling and operational visibility.
  • Created a decision-ready layer that reduces manual dependency and improves control over business-critical processes.
  • Designed the system for measurable outcomes, repeatability and long-term operational ownership.
  • Consult & Align: Defining the taxonomy for attribute mapping and CAD layer standards.
  • Workflow Setup: Mobilizing a specialized team of CAD technicians and GIS attribute specialists.

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.

Evidence

Proof points from the programme.

The source case study highlights measurable delivery, quality or operating improvements. These are presented as evidence of SBL's ability to build governed systems at institutional scale.

Proof pointSpanish Territory. 1 managed platform. Digital Urbanism.
Proof pointDigital city-scale spatial database distribution
Proof pointWeeks for manual checks
Proof pointProne to records lag
Outcomes

What changed for the institution.

The work moved the organization closer to an AI-ready operating model with stronger control, cleaner data and better decisions.

01

Faster operational decisions

The workflow becomes easier to monitor, validate and improve as a decision-ready system.

02

Connected workflow intelligence

The workflow becomes easier to monitor, validate and improve as a decision-ready system.

03

Greater process control

The workflow becomes easier to monitor, validate and improve as a decision-ready system.

04

MMS · THE CORE SYSTEM FOR REPEATABLE, LARGE-SCALE GEOSPATIAL TRANSFORMATION

The workflow becomes easier to monitor, validate and improve as a decision-ready system.

05

PHASE 04 Quality Control: Validating georeferenced coordinates and attribute accuracy against original records.

The workflow becomes easier to monitor, validate and improve as a decision-ready system.

Related proof

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Bring SBL the workflow that needs to change.

When the data is scattered, the controls matter and the outcome must scale, SBL can design, engineer, govern and operate the transformation.