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Intel Data 1

The Blueprint for Semiconductor Planning Data

INDUSTRY
Telecom, Media & Technology
OFFERING
Supply Chain Data Governance Strategy
TECHNOLOGY
SAP S/4 HANA, Blue Yonder
THE IMPERATIVE FOR CHANGE

A governance gap you can’t model around

A leading semiconductor manufacturer faced a critical inflection point: The success of its multi-year S/4HANA ERP and Blue Yonder supply chain optimization transformation hinged on resolving enterprise-wide data quality issues. Despite its operational discipline and Six Sigma maturity, fragmented ownership, undefined data stewardship and inconsistent policies jeopardized the company’s ability to scale.

With multi-billion dollar investments underway to expand its domestic foundry and advanced chip capabilities, senior leadership quickly mobilized an executive task force including Spinnaker SCA's Supply Chain AI & Data Engineering team to close the data quality gap—immediately.

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THE TRANSFORMATIVE SOLUTION

Governance that turns planning data into advantage

Build the foundation before you scale the system

We were brought in to perform a structured, cross-functional assessment of data readiness, applying our proprietary Five Lenses Framework—People, Process, Technology, Policy, and Metrics.

Through targeted self-assessments, stakeholder interviews and benchmark comparisons, we created a clear line of sight from current-state challenges to the future-state requirements essential for the company's ERP and supply chain optimization initiative.

 

Embed discipline, not just documentation

In partnership with global data governance leadership, we operationalized a practical and scalable framework aligned to supply chain needs. We defined role clarity for owners and stewards, introduced policy constructs to formalize expectations, and integrated service-level logic to align business and data priorities. Our approach emphasized speed to adoption, ensuring impact within in-flight transformation workstreams.

 

Make data quality inseparable from delivery milestones

The client institutionalized our recommendations into program management artifacts and delivery milestones.

Governance became a required checkpoint from concept through deployment—ensuring that every project phase incorporated the people, processes, and metrics required to sustain data quality at scale.

 

Drive change from the core—supported at the edge.

With urgency from the top, a cross-functional task force was established to lead the global data governance charge. This group aligned policy design, change management, and measurement standards across business and IT. With strong cultural roots in continuous improvement, the organization embraced this as a logical extension of its existing process rigor.

 

Operationalize the discipline to support future-state velocity

We equipped the semniconductor maker with a suite of accelerators—including playbooks, SLAs, metrics frameworks and stewardship models—that converted intent into action.

Technology platforms were aligned with governance logic and a feedback loop of data quality monitoring was embedded to guide improvement, detect drift, and reinforce business-led ownership.

 

BUSINESS IMPACT

Governance embedded. Rework reduced. Scale enabled.

We delivered lasting transformation to the data foundation that underpins global supply chain operations: 

  • Enterprise-ready governance framework deployed across People, Process, Technology, Policy, and Metrics 
  • Global policies and SLAs formalized, aligned to supply chain and ERP requirements 
  • Data ownership and stewardship roles defined, with training and accountability mechanisms in place 
  • Technology roadmap aligned to governance requirements and continuous improvement 
  • Governance milestones embedded into global transformation program timelines and artifacts 

Let’s build what’s next together.

A transformation is only as strong as the data foundation. Let's talk about operationalizing a supply chain data governance
that accelerates—not obstructs—progress.