Stegra: Engineering Data Governance

Overview

Client: Stegra

Sector: Industrial Manufacturing

Delivery Scope: Data Factory, Engineering Information Management, Tag Hierarchy Structuring, CFIHOS Alignment

Engagement Period: Capital Build Phase – Active

Powering One of Europe’s Largest Green Hydrogen and Steel Facilities with Governed Engineering Data

To build one of Europe’s largest green steel facilities, Stegra partnered with Sword to establish an Asset Data Factory, transforming unstructured supplier documentation into governed, operational engineering intelligence.

 

Unique Tag Numbers created

Engineering tags linked to source documents

Technical data entries structured & validated

Documents to be reviewed and processed

The Challenge: Taming Multi-Contractor Engineering Data at Capital Build Scale

Stegra moved quickly into procurement and construction for its green hydrogen and near-zero emission steel plant. However, multiple Engineering, Procurement, and Construction (EPC) contractors delivered critical equipment data in inconsistent formats without a common tag hierarchy.

  • Unstructured EPC Handovers: Data arrived across mismatched spreadsheets, PDFs, and drawing standards lacking unified reference designations.
  • Commissioning Exposure: Loading ungoverned asset data into operational systems risks costly delays, commissioning blind spots, and compromised plant maintenance.
  • Multi-Plant Blueprint Requirement: Stegra required a repeatable engineering data standard capable of scaling across subsequent industrial builds.

The Solution: Asset Data Factory

Sword designed and deployed an operational data services to collect, clean, validate, and structure high-volume technical data received from contractors prior to loading into the company’s enterprise systems.

  • Pillar 1: Data Governance Framework: Established asset hierarchies, tagging taxonomies, and technical handover rules built upon established CFIHOS principles.
  • Pillar 2: Data Cleansing & Relationship Mapping: Processed over 52,000 documents, building 33,699 tag hierarchies, generating 27,458 RDS codes, and cross-referencing 198,055 tag-to-document relationships.
  • Pillar 3: Systems Integration: Managed the automated ingest of cleansed tag data into Stegra’s Asset Information Management (AIM), maintenance, and procurement platforms.

Measurable Business Outcomes

Commercial / Efficiency Gain:

Systematic pre-validation eliminated contractor discrepancies early, preventing multi-million pound delays during plant commissioning.

 

Operational Resilience / Risk Mitigation:

Governed data structures ensure maintenance crews possess immediate access to validated equipment schematics from Day 1.

 

Speed, Agility & User Experience:

Accelerated operational readiness by linking 198,000+ technical tags directly to maintenance work orders and engineering documentation.

 

Future-Proof Scalability & Independence:

Established an adaptable, repeatable information management blueprint for Stegra’s upcoming European production facilities.