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Status Future consideration
Categories Enrich
Created by Guest
Created on May 27, 2024

Quality score of an entity or a whole structure of entities (like a channel)

Who would benefit?

Content specialist, Channel manager. PIM owner, PIM admin

What impact would it make?

Easy to see and find the products (or other entity types) that needs attention. This is something that would rate how good the quality of the data is based on some criteria that could vary depending on what type of product it is. The quality scoring says how well the product or channel lives up the the rules of the scoring.

The quality scoring differs from completeness in that it doesn't just look at if the data is there-it also analyses the data to see that it meets the set standards based on some defined rules.

How should it work?

Setup quality assurance rules for different segments/field sets/brands/... (need to figure out what it should be based on), define what fields that should be measured, calculate a quality score for the entity (we need to investigate if that should also include parent or child relations).
It would be great to also have the option to define the criteria ourselves, in addition to an out-of-the-box industry standard.

Why is it needed?

Help users find the most relevant entities that needs their focus - have different scoring on different types of entities as some products are more important and have a higher value than others for the company.


Additional feedback, background or context:

Other PIM tools have this kind of functionality and this is an investigation on if there is a need for this from the inriver community of customers. Please leave a vote and a comment with your thoughts on this.

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  • Elisabeth Knulst
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    Jul 1, 2024

    It would be great if we could set up validations on the data quality. This should be as simple as "an email field needs to have an @ included" to complex setup such as Needs to start with capital, at least n characters, must be linked to, etc. And then based on the data entry be able to calculate the data quality score. This relates highly to the setup which GS1 applies so perhaps their setup can be inherited or used as inspiration.