Controlling Data Quality

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Learning Objectives

  • Track data enrichment progress using completeness indicators, tags, and workflows.
  • Create dashboard widgets to quickly visualize data status and progress.
  • Work efficiently by leveraging collaboration and sharing tools to accelerate enrichment and improve data quality.


Overview

Before publishing a product online, it is crucial to ensure it includes all required assets and information fields. However, missing an image, forgetting an essential field, or failing to complete translations in all languages can compromise product presentation, conversion rates, and business goals.

The PIM allows you to define rules to verify that each product record contains all necessary elements before being published. These rules are structured using three key tools: completeness indicators, tags, and workflows. This ensures that every product is complete and meets expectations. It also helps teams anticipate data enrichment needs before issues impact sales and guarantees up-to-date, consistent information across all channels.



Prerequisites

You should already be familiar with the following processes. If any of these courses are unfamiliar, we recommend reviewing them first.



Courses