A record of who changed what product data and when, supporting governance and accountability.
Updating many product records at once rather than one at a time.
The ongoing work of maintaining a product catalog's accuracy, completeness, and structure.
Digital Asset Management — software for storing, organizing, and distributing rich media like product images and documents.
The policies, roles, and processes that keep product data accurate, consistent, and compliant over time.
Moving product data from one system to another, a common challenge in PIM and platform changes.
The defined structure of fields and relationships that determines how product data is stored in a system.
The hands-on responsibility for maintaining the quality and integrity of a defined set of product data.
The single, authoritative version of a product's data, reconciled from multiple sources to serve as the trusted truth.
A PIM architecture that serves product data to any front-end channel via API rather than a fixed interface.
Master Data Management — the discipline of maintaining a single, trusted version of an organization's core data, including products.
Product Information Management — software that centralizes, manages, and governs a company's product data internally before it's published.
The project of deploying and configuring a PIM system, including data migration and integration.
The broad practice of creating, organizing, and maintaining the content that describes products across channels.
The discipline of organizing, maintaining, and controlling a company's product data across its lifecycle.
Adding a new product and its full data set into a catalog or PIM so it's ready to manage and publish.
The complete set of data describing one product within a system — identifiers, attributes, descriptions, and assets.
Replacing an existing system wholesale rather than integrating alongside it — an approach DDS deliberately avoids.
One authoritative place where a piece of product data lives, so every system references the same value.
Tracking changes to product data over time so updates can be audited or rolled back.
Automating the repetitive steps of managing and publishing product data to reduce manual effort.
