When users update their information on one product, the data is sent to a database. My approach was to maintain a master data record, ensuring that each platform loads the latest updated record. Instead of having three separate records, the system keeps one master data record, storing the historical records for reference.
Assistant Consultant at a tech services company with 10,001+ employees
Real User
May 15, 2022
The advantage is that the matching engine is very good, so that's why customers generally prefer it. From the inbuilt data model perspective, IBM MDM is good.
Master Data Management (MDM) Software is designed to ensure an organization's critical data is accurate, consistent, and accessible across the enterprise. This enhances decision-making and operational efficiency. These solutions provide a centralized platform to manage an organization's data assets, promoting integrity and reliability. They enable seamless integration with existing systems and support data governance initiatives by offering features like data cleansing, validation, and...
When users update their information on one product, the data is sent to a database. My approach was to maintain a master data record, ensuring that each platform loads the latest updated record. Instead of having three separate records, the system keeps one master data record, storing the historical records for reference.
The advantage is that the matching engine is very good, so that's why customers generally prefer it. From the inbuilt data model perspective, IBM MDM is good.
There are not really many areas of the product that need improvement because the product stays up-to-date with data management needs.
The features that are most valuable are the governance, the end-profiling and the ETL which allows you to see the metadata repositories.