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FAQs: Master data management
What is master data management?
Master data management (MDM) means keeping your most important business data, such as products, customers, suppliers and projects, in one central, trusted place. The data is cleaned, enriched and kept consistent, and then shared with every system and channel that needs it, so everyone works from the same information.
What is the difference between MDM and PIM?
MDM is the broader discipline of managing all types of master data across an organization. Product Information Management (PIM) focuses on product data and on enriching it for sales and marketing channels. For most companies that sell products, a PIM covers the master data that matters most day to day, and combined with a DAM it also manages the images and documents that belong to each product.
What are examples of master data?
Typical examples are product data such as item numbers, attributes, variants and prices, supplier data, and project or property data such as references, buildings or hotels. Master data is relatively stable and is used by many processes, unlike transactional data such as orders and invoices.
Why combine master data with DAM?
Data and files belong together. When product or project data lives in the same platform as the images, videos, datasheets and manuals that belong to it, everything stays linked, up to date and ready to be shared in one go.
How does AI support master data management?
AI can automate many time-consuming tasks, including writing product descriptions from structured attributes, translating content, tagging images, generating alt text and finding duplicates. AI works best on clean, structured data, so a solid master data foundation is what makes AI results reliable.
Which companies benefit from master data management?
Any company that maintains the same information in several systems, sells through multiple channels or markets, or works with many products, variants, projects or languages. Common industries include manufacturing, retail and e-commerce, wholesale, fashion, furniture, tourism and hospitality, and architecture and construction.
How do I get started?
Start by mapping where your key data lives today and which channels need it. Define which fields are required, who owns which data, and what complete means for you. Then centralize the data in Kontainer and connect it to your channels. Our team guides you through every step.
How long does implementation take?
Most companies go live within 4–12 weeks, depending on data complexity, integrations and catalog size.









