CIO-GRAPH-1 · CIO · Enterprise Connected Product Graph
Unified Product Graph
Systems integrated
25#
from 6 #
Data freshness
1hours
from 24 hours
Problem & Capability
What & howExecutive problem
Product data is fragmented across dozens of systems.
Capability
AI understands product relationships, lifecycle dependencies and supply chain impacts.
Outcome & Strategic Impact
Why it mattersBusiness outcome
Single trusted data foundation for all downstream AI.
Strategic impact
Foundation for every other platform play.
KPI trajectory · Baseline → Target
ExhibitAI explainability — drivers, risks, next 90 days
Establishing a Unified Product Graph will consolidate fragmented product data into a single, trusted foundation, enabling scalable AI and unlocking new growth platforms. This initiative is critical to support Avery Dennison’s digital leadership, drive recurring revenue, and accelerate category differentiation. Achieving integration across 25 systems and near real-time data freshness will position us for platform-based value expansion.
Drivers
- Direct line-of-sight to all product relationships and lifecycle events
- Robust data governance ensuring trust and compliance
- Seamless integration with enterprise and customer-facing platforms
Risks
- Integration complexity across legacy and cloud systems
- Data quality or governance lapses undermining trust
- Delayed adoption by business units impacting ROI
Next 90 days
- Prioritize and sequence integration of top 10 data source systems
- Define and implement enterprise data governance framework
- Pilot AI-driven supply chain insights with a strategic customer (e.g., Walmart)