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: 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”.
At the recent Hadoop Summit in San Jose, California, visitors to the Talend booth were given the opportunity to tell their big data story, through a short video. Over 20 participants were interviewed including attendees from Wellcentive, Vindicia, Cisco Systems and Time Warner Cable. They shared their big data experience, their vision and expectations.
The use of Big Data in these organizations is continually expanding with more and more use cases and challenges, and the expectations from big data technologies are huge. No matter the industry, the type of data or the usage scenario, organizations are embracing big data to get the maximum value from this ever-increasing volume of data.