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The Dirty Data Trap

by | Oct 9, 2025

Dirty Data White Paper

WHITE PAPER

THE

Dirty Data Trap

Why Tools Cannot Solve Broken Product Data

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Introduction

Many teams invest in new software thinking it will clean up their product data. The reality is different. Search still fails, filters still confuse buyers, and returns keep climbing. The real obstacle is the quality of the data.

This whitepaper explains why disorganized product data blocks growth and how to fix it with the right foundation of taxonomy, enrichment, and governance.

What You'll Learn

The definition of product data and why it becomes messy.
The hidden costs of poor data: lost revenue, higher returns, and wasted time.
Examples of how weak data breaks search, filters, and product pages.
Why surface cleaning does not address the root cause.
How people and automation together can create lasting governance.
A 30-60-90 day plan to stabilize product data and prove value.

Why It Matters

When product data is incomplete or inconsistent, every process slows down. Customers cannot find items, filters show duplicates, and descriptions mislead. Returns increase, onboarding stalls, and sales decline.

Structured, governed product data creates the foundation that lets PIM, MDM, eCommerce, search, and AI deliver consistent results.

Results You Can Expect

Faster onboarding with fewer manual fixes.
Search and filter results that guide buyers to the right product.
Fewer returns and higher customer satisfaction.
Clear ownership and governance that prevent recurring issues.

Download the White Paper

Read The Dirty Data Trap to see how companies are repairing their foundation and using product data to drive measurable results.

Download the White Paper Now