Enhanced data reliability for strategic decision-making at XP

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Enhanced data reliability for strategic decision-making at XP

Reduction of process lead time and operational costs with Intelligent Automation

Case studies

Optimizing Data Governance at Unilever

How Unilever Strengthened Data Product Management & Cross-Team Collaboration

Unilever enhanced its Data Governance by restructuring Data Product Management, ensuring better alignment between Business, IT, and the Data Hub. By defining clear roles, responsibilities, and prioritization frameworks, the company improved cross-team collaboration, optimized communication flows, and streamlined data operations. This transformation resulted in a more structured and efficient decision-making process, driving greater visibility, agility, and strategic impact in data management.

The challenge

Unilever recognized an opportunity to enhance its Data Governance model by bringing greater clarity to roles and responsibilities between Business, IT, and the Data Hub. As data-driven decision-making became increasingly strategic, the need for a more structured approach to demand prioritization and cross-team collaboration became evident. Additionally, aligning perspectives on data architecture was essential to improving operational efficiency and accelerating innovation. To strengthen governance and optimize data management, Unilever engaged in a structured initiative to refine its Data Product Management framework, ensuring seamless coordination and strategic alignment across all stakeholders.

Company: Unilever

Industry: Consumer Goods

Size: large

Our solution

Mapping & Pain Point Analysis

Conducted in-depth discussions with key data leadership to assess the current operational model, identify challenges, and gather insights on improvement areas.

Redesigning the Operating Model

Developed a future-state Data Product Management framework, defining clear roles, responsibilities, and governance structures to enhance collaboration and prioritization.

Implementation Roadmap & Alignment

Established a structured roadmap for deploying the new model, including communication strategies, process adjustments, and key rituals to ensure seamless adoption.

Methodology used

The project was built upon the DAMA DMBOK framework, ensuring a structured and industry-recognized approach to Data Governance. By leveraging its best practices, we established clear roles, responsibilities, and governance processes, enabling Unilever to optimize data management, enhance collaboration, and drive strategic alignment across teams.

Achieved results

Enhanced governance & clarity

Streamlined prioritization

Improved collaboration & efficiency

With the successful design of the new Data Product Management framework and the clear governance structure in place, Unilever moved forward with the implementation of these changes. Leveraging the optimized operating model, the company embarked on the deployment phase, ensuring a seamless transition and long-term adoption. To support this journey, Unilever partnered with Bridge & Co. to guide the execution of the roadmap, facilitating the operationalization of the new structure and reinforcing a data-driven, strategically aligned organization.

Bridge worked with us to develop a data governance structure, ensuring integration and delivery across all product stages in Data & Analytics. The dedication and professionalism I have seen so far go far beyond market standards, with a team that is always focused on supporting us and open to dialogue.

Rafael Andreatta

Business Intelligence Director at Unilever

Drive your business forward with Bridge & Co.