Entry 9 from the book: Data Quality in E-Commerce

Thilo WiltsThilo Wilts
2 min read

"We are drowning in product data"


1 · The Problem in a Nutshell

Date: October 10, 2023

StyleUsNow receives product data from over 30 suppliers in a wide variety of formats. Missing images, inconsistent size specifications, and duplicate color names lead to poor conversion, high return rates, and time-consuming post-processing. Without reliable, rich product data, the online shop cannot scale its growth.


2 · Mini-Solution: The 3-Pillar Model (Bird's-Eye View)

PillarQuestionQuick Win Today
Asset ManagementWhat do we have & where is it?Create an inventory table with 4 columns (Data Type · Storage Location · Owner · Criticality)
Access ManagementWho is allowed to do what?Review admin rights once a month and remove unnecessary access
AccountabilityWho is the Data Sponsor?Appoint one responsible person per core dataset

Quick Win from the Field: In one project, 127 customer duplicates were cleaned up – fewer misdirected mailings, more satisfied customers.


3 · What you can do NOW if you also have this problem

  1. Visit your own product detail page and evaluate: Which fields are missing, seem incomplete, or are confusing?

  2. Open the data source for it (e.g., PIM, Excel, ERP).

  3. Note which of these fields are most frequently empty or inconsistent.


4 · Cliffhanger

A seemingly small transposed number triggered a domino effect that almost jeopardized a major order. You can read how we stopped this at the last minute in Chapter 3 of the book.


5 · Want the Whole Story?


What flawed product detail have you noticed while online shopping that was a negative experience? Tell us about it!


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Thilo Wilts
Thilo Wilts