Product Feature
The Product Data Score rates how transparent each supplier is about its product portfolio, so you can tell which partners share usable part detail and which stay vague.
Overview
When a supplier withholds detail about its parts, that opacity is itself a risk. Z2's Product Data Score measures how openly and accurately each supplier releases information about its products: capabilities, parametric features, and pricing. As a data transparency input to Supplier Insights, it lets sourcing and engineering teams favor partners who give them what they need for sound design and procurement decisions.
A supplier that will not share in-depth detail about its capabilities, parametric features, and pricing leaves your team designing and sourcing in the dark. The Product Data Score makes that transparency visible and comparable, turning a soft signal into a hard input. It is how the data transparency dimension is captured at the part level within Z2's 0 to 100 supplier risk score, so an opaque supplier no longer hides inside an otherwise healthy profile.
The score rewards suppliers that publish detailed capabilities and parametric features for their parts, and it accounts for how readily they share pricing. Complete, accurate disclosure scores higher; vague suppliers score lower. This matters most when several suppliers sell the same component, since two sources rarely document a part equally well. The score gives you a clear way to compare them on whether your engineers can actually design with their parts.
Z2's data teams collect and analyze information and news about each supplier's products rather than relying on suppliers to grade themselves, so the score reflects observed disclosure across the market, not marketing claims. Because it lives in the same profile as financial data, sanctions screening, ESG, and sub-tier relationships, you see part-level transparency in the full context of supplier risk, with no separate tool to check.
Use the Product Data Score to steer demand toward suppliers who give you what you need to build. When you qualify a new source or review an existing one, the score flags partners likely to leave gaps in capability and pricing data before those gaps stall a design or negotiation. It turns supplier transparency from a hunch into a number you can sort, filter, and defend.
A feature of
Product Data Score is one capability inside Z2 Supplier Insights, deep financial, operational, and risk intelligence on 1M+ suppliers, so you see supplier risk before it disrupts production.
Common Questions
It measures how openly and accurately a supplier discloses part capabilities, parametric features, and pricing. Complete, accurate data scores higher; vague suppliers score lower. It is the part-level expression of the data transparency category in Z2's supplier risk model.
Data transparency is one of the eight categories behind Z2's 0 to 100 supplier risk score, with fiscal health, bankruptcy risk, trade compliance, geopolitical risk, ESG, cybersecurity, and growth. The Product Data Score captures that transparency dimension, so an opaque supplier is reflected in its overall rating.
Z2's data teams collect and analyze information and news about each supplier's products rather than asking suppliers to score themselves, so the score reflects observed disclosure across the market.
