Key points
Numendo performed an in-depth audit of product marketing data for Kingfisher UK to optimize governance within a PIM implementation project. This engagement helped identify key attributes and aligned Purchasing and Marketing needs, giving the group a clear structure tailored for efficient, large-scale product data management.
3
months of intervention by a Business Analyst
2
tools structured with optimized governance
context
Kingfisher Group, owner of Screwfix and B&Q, was implementing a PIM for product marketing data while planning a PLM launch for technical data. To optimize data governance, the company requested Numendo to conduct a comprehensive audit. The objective was to catalog product types, analyze their characteristics, and recommend a tailored governance model bridging Purchasing and Marketing divisions.
INTERVENTION
A Business Analyst was deployed on a time-and-materials basis over three months, working three days per week on-site between London and Southampton. The intervention covered:
• Product Attribute Evaluation: Assessing product attributes to identify core characteristics per item category.
• Data Governance Analysis: Evaluating data management processes to propose an effective governance model linking PIM and future PLM systems.
• Strategic Deliverables: Providing a comprehensive list of attributes per product category along with strategic organizational recommendations.
• Product Attribute Evaluation: Assessing product attributes to identify core characteristics per item category.
• Data Governance Analysis: Evaluating data management processes to propose an effective governance model linking PIM and future PLM systems.
• Strategic Deliverables: Providing a comprehensive list of attributes per product category along with strategic organizational recommendations.
results
Through this audit, Kingfisher UK now benefits from a clear framework to organize product marketing and technical data. The analysis aligned market needs across tools, hardware, and DIY materials. The provided recommendations ensure optimized governance tailored to PIM and PLM challenges, preparing the enterprise to structure master data and streamline large-scale product data flows.
