High costs
- Over €2 million spent annually on third-party tools for data and media management.
- Limited governance and little flexibility in return for that spend.
Project goal
Design, develop, and implement an in-house Product Information Management (PIM) solution that centralizes product and media asset management, reduces reliance on costly third-party tools, and delivers improved operational efficiency, accuracy, and customer experience.
€0.0M
Annual cost saved
Third-party data & media tooling replaced in-house
0%
Operational efficiency gain
Automation of authoring & media workflows
0%
Customer satisfaction lift
Standardized, reliable product content
0%
Catalogue accuracy gain
Consistent product information across markets
Problem statement
Data authoring and media management at Nissan were fragmented, inefficient and heavily reliant on third-party proprietary tools — creating both operational and financial exposure.
Business objectives & benefits
Six objectives framed the business case — each one traceable to a measured outcome later in this document.
A unified in-house solution for both data and media management replaces multiple third-party tools, reducing costs by ~€1.6 million annually while ensuring centralized governance and control.
Automate data authoring and media management workflows to reduce manual intervention, streamline operations, eliminate duplication and improve productivity across all regions.
A centralized repository for data and media assets ensures consistent standards, formats and accessibility across markets, reducing errors and maintaining brand integrity.
A flexible, scalable system that supports seamless expansion into new markets, manages growing volumes of data and media assets, and adapts to evolving business needs.
Accelerated data and media updates enable quicker product launches and marketing campaigns, with consistency and accuracy across customer-facing platforms.
Accurate, high-quality product information and standardized media assets build customer trust, satisfaction and loyalty while maintaining a consistent global brand identity.
Business flow
Switch between the current and target architecture. The change is structural: authoring moves in-house and media stops living in a separate third-party silo.
Data authored using third-party tools is sent to the Data Validation Tool as JSON. The tool interprets the incoming JSON against business rules that ensure build compatibility. Successfully interpreted JSON is passed to AEM for the Central Marketing Team. Media is handled entirely outside this chain, in a separate third-party DAM.
Select any step in the chain to read what it does. Solid navy marks the in-house PIM scope; dashed outlines mark third-party tooling.
TO-BE process design
Two swimlane flows carry the target operating model from authoring through non-prod validation to production publishing. Dashed cells are decision gates.
Technology decisions
Each layer was selected for enterprise scale, with the runner-up recorded so the trade-off stays auditable.
Java
Angular
MongoDB
Key business benefits achieved
Accuracy improved by ~16%, ensuring consistent and high-quality product information across all markets.
Customer satisfaction boosted by ~25% through standardized, reliable product information and media assets.
~88% efficiency gains through automation and streamlined workflows, eliminating redundant processes.
~€1.6 million saved annually by replacing third-party tools with a scalable in-house solution.
Centralized data and media management with a standardized repository ensures global consistency and brand integrity, and allows seamless multi-channel information modification.
A future-ready system enabling seamless market expansion and adaptability to evolving business needs.
Key challenges in implementation
Eight challenge categories tracked through delivery. Expand any category to see the specifics.