01
Governance at global scale
More than 4,000 IT systems used different structures and standards, making consistent governance difficult.
Case study · Chemicals & industrial gases
Global Data Governance Platform
Creating a centralized data-governance environment across 70 countries and more than 4,000 IT systems.
A multinational chemical corporation was trying to govern data across thousands of localized systems, inconsistent regional data models and spreadsheet-based processes. NoèmeX designed and implemented a centralized governance platform covering model creation, certification, access control, workflow, integration and automation, while preserving a governance model that allowed global standards and local participation to coexist.
The challenge
What the organization needed to change
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02
Inconsistent regional data models
Definitions, mappings and data dictionaries were stored locally in different formats and repositories.
03
Manual approval bottlenecks
Model reviews could require proof-reading dozens or hundreds of spreadsheet tabs and depended on stakeholder meeting availability.
04
Security and process fragmentation
Access controls, undocumented business processes and manual data engineering created redundancy, risk and longer development cycles.
What we did
A structured path from fragmented operations to a governed solution
This summary explains the major workstreams. The downloadable case study can carry the deeper implementation narrative, diagrams, frameworks and technical detail.
01
Centralized model lifecycle
Created structured workflows for data-model creation, revision, review and certification across local and global stakeholders.
02
Core-data integration
Mapped local structures to corporate master-data standards and enabled synchronized use of governed core models.
03
Unified access governance
Introduced role-based access controls within the platform to simplify fragmented security administration.
04
Automation and product governance
Automated portions of data transformation, validation and model support, while establishing transparent feature-prioritization and cost-sharing governance.
Business systems / environment
4,000+ enterprise and local systems · Data models and dictionaries · Governance workflows · Role-based access · Automated data engineering
Benefits and results
What changed after implementation
Only outcomes supported by the documented case material are shown here. Where the source describes future AI opportunities, they are not presented as delivered results.
The platform supported a global operating footprint spanning 70 countries.
Governance was designed for an estate of more than 4,000 IT systems.
Spreadsheet-driven governance processes were consolidated into a centralized platform and governed workflow.
Automated model creation, approval and certification reduced manual intervention and improved consistency and scalability.
Related capabilities
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Where this work connects
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Business functions
Executive priorities
Chemicals & industrial gases
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Business challenges
Problems this case can inform.
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Your Contact Persons
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Zahra Fathisalout
Founder · Eng., CSP, CMLAI
Corporate governance · ASC-C.Dir. candidate
Works across strategy, enterprise transformation, data, AI and governance, bringing operational engineering experience to complex transformation decisions.
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Brendan Young
B.Com, Director of Operations
Connects transformation design with operating discipline, drawing on logistics, fulfillment and high-throughput operational leadership.
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Detailed case study
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Explore the transformation in greater detail, including the operating context, implementation approach, systems environment and key outcomes.
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