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Kingspan: STIBO STEP PIM Implementation for Divisional Ownership & Compliance

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Kingspan: STIBO STEP PIM Implementation for Divisional Ownership & Compliance

About

Kingspan

Kingspan Group is a global leader in high-performance insulation and building envelope solutions, headquartered in Kingscourt, Ireland. Since 1965, Kingspan has driven innovation in energy-efficient and sustainable construction. Operating across five divisions: Insulated Panels, Insulation, Light, Air + Water, Data & Flooring, and Roofing + Waterproofing, Kingspan supports diverse global markets with its “Planet Passionate” sustainability program.
Industry
Manufacturing

The Challenge

Kingspan was transitioning PIM ownership from Group to Divisional level for localized administration and faster updates while ensuring compliance and governance.

  • Managing ~15,000 SKUs in a 4-level hierarchy (Material Core Type to Width to Thickness to Profile/Gauge) with 200+ attributes per product.
  • Complex “Tested Systems” linkages (~2,000 records, ~1,000 attributes each) for certifications
  • Dual approval workflows via Active Directory for PCR compliance
  • Data input via SmartSheets Excel templates and limited asset management (PDFs)
  • Planned expansions to new product lines (Mexico, accessories, etc.) and integrations with Power BI, Salesforce, SAP, and BIM
  • Need for centralized yet divisional governance, auditability, and data quality
  • These challenges hindered operational efficiency, regulatory compliance, and scalability across global operations

These challenges hindered operational efficiency, regulatory compliance, and scalability across global operations

The Solution: STIBO STEP PIM Implementation

Nvizion delivered a comprehensive Stibo STEP 2026 PIM implementation tailored to Kingspan’s needs.

  1. Product and Entity Modeling : Configured 4-level hierarchy, 8 entities, attribute sets, and Tested Systems linkages
  2. Workflow and Governance: Designed dual approval workflows integrated with Active Directory, PCR validation, and immutable records
  3. Data Quality and Rules: Implemented ~425 business rule actions and ~350 conditions for validation
  4. Asset and Integration Layer: Centralized PDF asset management with future CAD and image support. Built Azure-based inbound and outbound integrations including IIEP, SmartSheets, OIEP to Blob, Databricks, and Power BI
  5. Migration and Testing: Cleaned, deduped, and migrated existing data. Delivered full UAT and hypercare support

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Key Deliverables

  • Configured DEV, STAGE, and PROD STEP environments with data model, workflows, and governance
  • Integration middleware and analytics dashboards
  • Training materials, runbooks, and divisional ownership transition plan

Business Impact and Outcome

The PIM foundation delivered meaningful improvements.

  1. Empowered divisional ownership with localized administration and faster product updates
  2. Ensured regulatory compliance (PCR) through mandatory validations and dual approvals
  3. Enhanced data quality and auditability across ~15K SKUs and assets
  4. Enabled scalable integrations for reporting, marketing, and future expansion
  5. Reduced manual effort in SKU management and improved time to market
  6. Strengthened governance and alignment between Group and Divisional teams
  7. Built a foundation for broader digital transformation and sustainability initiatives
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NVIZION’s Role

Nvizion acted as the strategic PIM implementation partner working closely with Kingspan’s IT, PMO, and divisional teams.

  • End to end discovery, design, and Stibo STEP configuration
  • Workflow, business rules, asset management, and integration development
  • Data migration, testing, training, and go live hypercare
  • Governance framework and change management support
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Need help? Write to Us

Sales@nviz.com

Looking Ahead

Looking Ahead

With a robust divisional ready STIBO STEP PIM platform in place, Kingspan is positioned to scale data management across additional product lines, geographies, and use cases. The solution supports ongoing Planet Passionate goals, faster innovation, and data driven decision making.