Cleaning Product Data is a useful functionality that is interpreted quite differently by PIM suppliers. Clutter in is clutter out, so it is important to thoroughly “clean” Product data before using it for publication. When a PIM system is implemented, it often becomes clear how the condition of the existing product data is. If good cleaning methods are not available, it will be difficult to get the most out of the PIM investment, because then the cleaning of the data has to be done by an external system and / or company. This makes the business case a lot less attractive. So pay close attention to how the cleaning process takes place when choosing.
Clean up Listings in Data
Cleaning Product Data is a useful functionality that is interpreted quite differently by PIM suppliers. Clutter in is clutter out, so it is important to thoroughly "clean" Product data before using it for publication. When a PIM system is implemented, it often becomes clear how the condition of the existing product data is. If good cleaning methods are not available, it will be difficult to get the most out of the PIM investment, because then the cleaning of the data has to be done by an external system and / or company. This makes the business case a lot less attractive. When choosing, pay close attention to how the cleaning process takes place.