Home—Blog — Data Quality

Data Quality

Poor data quality affects the level of sales and can impact a company´s reputation.

Tags

AI | B2B | B2C | Brochures | Certificates & Awards | Classifications & Taxonomy | DAM | Data Exchange | Data Quality | e-Commerce | Info | Manufacturing | Microsoft Dynamics & other | PIM | Supply Chain

GS1 and its Global Product Classification

We at Allium have recently been working on several Pimics projects involving standardized product data imports and exports using the GS1 format and that is why we write about it.

Managing sales return rates

As business builds, more customers means more returns on your sales. While many retailers view high returns as a necessary evil, current rates (40% rise in North America in 2021 vs. 2020) are unsustainable

5 ways that Pimics can help improve your data quality

Whether you only produce printed catalogues for your customers, or whether you sell online and your information will be seen by humans or the Google Assistant, one thing is for sure: you will have to present your products well to sell well. PIM becomes a must-have for more reasons than one, but especially for data quality reasons.

4 Pains that lead to PIM adoption

Reality shows us that few companies include PIM in their systems architecture right from the start. Many of them realize the potential of PIM as they go along and, usually because they grow out of their initial 'shoes' they increasingly perceive shortcomings that only PIM can solve. This article highlights the most important shortcomings that companies usually face, and how they can be effectively addressed by adopting a PIM solution such as Pimics.

Download our free white paper, to learn more about how a PIM system can help you.

First name

Surname

E-mail

Company