Taxonomy and Data Modelling
Build product data systems that actually make sense, internally and for your customers.
Your product information is only as good as the way it’s structured. Get taxonomy, attributes, and a data model right, and you unlock search clarity, faster onboarding, scalable growth and happy customers.
The PIMLEAD Approach to Structured Product Data
- 01
Taxonomy Design: Structure That Scales
We help you build a logical, user-friendly product hierarchy—one that works for both internal teams and your customers. You’ll get:
- Deep, yet navigable category trees (3–5 levels)
- Intuitive naming mapped to customer search habits
- Scalable setups that flex with new lines, markets, or channels
- 02
Attribution: Meaningful & Consistent
Good product filters don’t happen by accident. We define and standardise:
- Attribute schemas by category
- Required vs optional fields
- Naming rules and data validation
- Workflow logic that keeps product info consistent
- 03
Data Modelling: The Blueprint Behind It All
Think of your data model as the engine under the hood. We architect a future-ready setup that:
- Aligns with your business goals
- Supports integrations with ERP, DAM, marketplaces
- Enables automation, AI tagging, and data inheritance
- Keeps your product data usable, no matter how complex
- 04Book a discovery call
Ongoing Governance & Optimisation
Taxonomy is not a one-and-done job. We help you:
- Maintain** data governance policies
- Roll out regular audits and rule updates
- Adapt your structure as new products, channels, or regions come in
See it in action:
Want to explore how better taxonomy creates better customer experiences? Let’s start with a free PIM data review or chat about what it would take to clean up yours.
Frequently Asked Questions
Every PIM project is different — but the path to success is consistent. Here's how we typically work:
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