Master Data Management (Beta) on Cloud Pak for Data as a Service
IBM Master Data Management (Beta) on IBM Cloud Pak for Data as a Service seamlessly consolidates data from the disparate sources that fuel your business to establish a single, trusted, 360-degree view of your customers — digital twins. Master Data Management includes cloud-native, machine learning-assisted, self-service analytics and matching tools that deliver better business insights.
Configuration of the Master Data Management system is a data first process. Every part of the experience starts with your business’s data, wherever it lives. Data engineers can gather customer data from different systems across your enterprise. When they onboard new data sources, Master Data Management automatically generates a customizable data model so data engineers won’t spend weeks manually mapping thousands of attributes.
Once your data is loaded into Master Data Management, data engineers can run matching to create enriched master data entities. Master Data Management includes an intelligent matching algorithm that you can tune and train. The matching capabilities deliver a trusted, unified source of customer data.
Business users and systems can access Master Data Management to search, view, and analyze master data entities. With Master Data Management on Cloud Pak for Data as a Service, you can ensure that your users and systems have a total view of your data. With a seamlessly integrated, cross-solution cloud experience, your users can discover master data directly in the space where they expect to consume it.
The service also includes a rich set of APIs that empower your business applications with direct access to trusted master data.
Master Data Management (Beta) requires these prerequisite services to be installed.
Create catalogs of curated assets with this secure enterprise catalog management platform that is supported by a data governance framework.
These related services are often used with Master Data Management (Beta) and provide complementary features, but they are not required.
Prepare, analyze, and model data in a collaborative environment wth tools for data scientists, developers, and domain experts.