Big Data Blog
In this “summer series” of posts dedicated to Master Data Management for Product Data, we go across what we identified as the five most frequent use cases of MDM for product data.
In this post, we focus on MDM for Material Data; it aims to manage centrally information about spare parts, raw materials and final products, and then share this trusted and unified view across organizations, processes and information systems.
MDM for Material Data is seen in industries that engineer, procure, manufacture, store, sell and configure products. Typically, this is what defines the manufacturing industry. Material refers to potentially any inventory items that can be uniquely identified by an SKU (Stock Keeping unit), from the raw material to the finished goods, so the focus is not, or not only, the customer facing side of the product.
Few vendors are invited by Scott Humphrey to this annual gathering of data gurus – and for the past six years, I have had the privilege to represent Talend. As posts from previous years attest, this is an event rich in discussions and brainstorming. This is also a unique event where we get the opportunity to sit down with analysts for fireside discussions (without the fire, clearly not needed in July in Oregon).
In this “summer series” of posts dedicated to Master Data Management for Product Data, we go across what we identified as the five most frequent use cases of MDM for product data: MDM for Material Data, MDM for Lean Managed Services, MDM for Regulated Products, Product Information Management and MDM for “Anything”.
In their market definition of Master Data Management, Gartner chose to segment the market into two main subdomains: while MDM for Customer Data deals with “party” data, such as customers, members, citizens, patients, employees, or vendors, MDM for Product Data focuses on the “management of the domain relating to products and other things”, then further defined as “finished products, parts, material, assets, services and financial instruments”.