A global operation with fragmented brand standards
The company's brand hierarchy terminology varied between regions, and the same brand appeared under different identifiers and classifications.
This fragmentation created tangible business consequences. Inconsistency in brand classification data hindered business-critical activities and required significant manual effort across functions. Brand standard awareness and utilization remained low across the organization.
Data governance framework and brand data standards
Norrin delivered a data management and governance review which revealed that the company had a single source system in place for brand data. Even though the overall quality was improving incrementally, critical gaps remained. Data standards were not clearly defined and governance structures did not exist to sustain consistency.
Norrin established clear data standards to ensure consistent naming and classification across all functions, and created a governance framework to manage brand data going forward.
Building a data governance roadmap
The resulting roadmap balanced immediate momentum with lasting change. Quick wins included increased awareness and training on brand standards across functions, building organizational alignment.
High-effort, high-value initiatives followed. They included consistent data cleanup across critical brand records and re-aligning IT systems to global brand naming conventions.
With a clear governance framework and phased roadmap in place, the company now has a foundation for building and maintaining a single source of truth for brand data. This is also a reliable data foundation for any future AI and automation initiatives.
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