Is your PIM delivering what it promised?
Many organizations aren’t sure whether they need to upgrade to a new PIM platform or just reconfigure what they have. That uncertainty is expensive. Without an objective baseline, teams argue in circles and no real progress gets made.
A PIM health check gives you evidence. Not opinions.
What we evaluate
Over five focused workshops, we’ll scores your existing PIM deployment against a structured scorecard across five dimensions. These are the areas that determine whether PIM implementation succeeds or stalls.
Governance: Who owns what data, when, and how decisions get made. The discipline that determines whether your PIM scales.
Data quality: Completeness, accuracy, and consistency across SKUs and attributes. This is the output your channels consume.
Integrations: How well your PIM connects to ERP, DAM, ecommerce, and syndication endpoints. This is where most ROI leaks happen.
Adoption: How your teams use the PIM platform day to day. Tooling without adoption is expensive shelfware.
ROI & fit: Whether your current PIM deployment is delivering against the business case that justified the original investment.
What you get
At the end of a two- to four-week PIM health check, you get:
- A scored assessment against all five dimensions
- A prioritized roadmap with concrete improvement steps
- A replatform-vs.-optimize recommendation backed by executive-ready data
The PIM health check gives you and your leadership team a shared, objective baseline. That way, the decision between optimizing and replacing PIM is grounded in evidence.
Results we’ve seen
When a global tool manufacturer’s original PIM implementation fell short after 1.5 years of investment, their users rated the system a 4 out of 10. They weren’t sure whether to rebuild or replatform.
We started with a structured evaluation and found problems with their data model and governance. That diagnosis saved them months of unnecessary migration work.
After restructuring its data model and governance framework, this company reduced the number of attributes from 12,000 to 2,500. They cut attribute groupings by 50% and recovered 416+ hours per year through automation, all without switching platforms.
When a health check makes sense
- Your PIM has been live for a year or more, but adoption is low
- Teams are working around PIM instead of in it
- You’re facing a replatform conversation and want data first
- IT is fielding more product data tickets today than before go-live
- Leadership is questioning the return on your PIM investment
Ready to get a clear read on your PIM?
Let’s scope your health check. Discovery calls are no-pressure and typically 30 minutes.
