Bad Product Data Costs Sales, Returns and Time
Missing attributes hide products from search and filters. Wrong dimensions cause returns. Duplicate SKUs confuse buyers and teams. Product data quality management finds these problems, fixes them at the source, and puts rules in place so they do not come back.
Incomplete Products
Required attributes, images or translations are missing for some channels.
Inconsistent Values
15 in, 15 inch and 38 cm for the same thing; free-text colours.
Duplicates
The same product under two SKUs or two names.
No Ownership
Nobody knows who fixes what, so errors stay.
How Much is Your Product Data Costing You?
Get Your Score + 90-day action plan in 3 minutes.
Check Your ScoreThe Six Dimensions of Product Data Quality
We measure and improve product data on six dimensions, by category and by channel.
Completeness
Every attribute each channel requires is filled.
Accuracy
Values match the source: supplier, ERP or the physical product.
Consistency
The same units, formats and naming across products.
Uniqueness
No duplicate SKUs, GTINs or product records.
Validity
Values follow the rules: formats, allowed lists and ranges.
Timeliness
Changes reach every channel quickly.
How a Product Data Quality Project Runs
A focused first release typically takes 3 to 6 months; larger programmes run in phases over 6 to 12 months or more.
01
Free Assessment
A 30-minute call about your products, channels, systems and goals.
02
Discovery
A few weeks: current-state review, requirements and a phased plan.
03
Build
Clean-up, quality rules, workflows and dashboards in your PIM.
04
Test and Go-Live
Tested with real data and real users, then launched.
05
Improve
Monitoring, training and the next set of improvements.
Get Your Free Product Data Score
A 10-minute assessment shows where your product data stands and what to fix first.
Book a Free ConsultationWhy Leading Enterprises Choose Credencys for Product Data Quality Management
Product Data Expertise
We combine PIM, MDM, data quality, taxonomy, data modeling, workflow and syndication expertise across the whole product-data lifecycle.
Enterprise Integration Experience
We connect PIM with ERP, DAM, eCommerce, marketplaces, supplier systems and legacy applications, so product data flows without manual work.
End-to-End PIM Capabilities
From assessment and data modeling to implementation, migration, governance and syndication, one team supports the whole programme.
Governance-First Approach
We set up ownership, validation rules, workflows and exception handling, so your product data stays clean after go-live.
50+
Enterprise Clients
100%
Certified Consultants
15+
Years Experience
4.9/5
Client Satisfaction
Frequently Asked Questions
The ongoing process of measuring, fixing and protecting the quality of product information: its completeness, accuracy, consistency, uniqueness, validity and timeliness.
With a score per dimension, per category and per channel, for example the share of products that are complete for Amazon. The free Product Data Readiness Assessment gives a first score.
Both. Clean the worst problems before migration, then use PIM rules and workflows to keep the data clean. See our PIM data migration checklist.
Not always, but a PIM makes it much easier: rules, completeness scores and workflows sit where the data is edited.
A focused first release typically takes 3 to 6 months; larger programmes run in phases over 6 to 12 months or more.
Trusted by Best
Choosing Credencys means partnering with a team that’s deeply committed to unlocking the true value of your data. Here’s why industry leaders trust us:
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