DataLean™ is Addiction’s proprietary PIM designed and developed for the digital transformation of all companies.

 

It is the ideal tool for the multichannel management of assets and product data, centralizing all corporate information into a single cloud-based source and fostering collaboration between departments.

 

DataLean™ is innovative, secure, and customizable to any data model and portfolio.

 

It allows you to organize, import, export, and update any type of data, anywhere and at any time.

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DataLean™ adapts to various business realities and supports multi-brand, multi-market, and multi-language management with dedicated access and always-aligned information.

With DataLean™, companies speed up their data publishing and updating processes, promote their products in an innovative way, reduce the margin of error, and manage every type of information from a single environment.

 

Multi Brand
DataLean™ helps complex multi-brand and multi-language corporate realities manage different markets. Manage all brands or business units independently from a single tool, while maintaining the centrality of information.
Product Portfolio
All structures, models, and vocabularies allow for the optimal organization and division of different catalogs, hierarchies, and relationships.
Identity Manager
User management is deep and granular, incorporating group and role logic based on advanced profiling.
Permissions Management
Permissions management allows you to assign and manage access policies to the PIM and all connected tools and channels, with maximum security and simplicity.
Media Library
Cloud storage is intuitive and always available, supporting main formats such as images, videos, and documents necessary to achieve more centralized asset management.
Structures and Filters
With DataLean™, it is possible to create easily adaptable, dynamic data structures to better organize product information, as well as define search filters that can be activated through the creation of vocabularies and categories.
Power to Your Data
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