The traditional approach to Master Data Management (MDM) involves extracting relevant data from multiple systems and storing it in a centralized MDM database. This database becomes the master for certain data types, and changes to the master data are managed in the MDM system that are propagated to up / downstream systems. Efforts, costs, and time required for this approach tend to be very high due to the initial challenges involved in setting it up, as well as for on-going maintenance. Change management takes place in MDM, outside of the realm of the system of record (SoR), which may not be the most optimal approach.

The eQube^®-DaaS platform provides significant capability to author master data models based on CDM approach. Data from SoRs is mapped to the CDM, providing flexibility to evolve the master data model. In addition, eQube^®-DaaS provides Smart Caching that enables indexed storage of key attributes of critical elements from the SoRs. The eQube^® Smart Cache allows efficient and flexible delivery of multiple critical solutions, such as Enterprise Search, Digital Thread, and MDM. With this approach to MDM, the data always stays where it belongs - in the source systems. Changes to the master data elements are carried out in the SoR and eQube^®-DaaS propagates the changes to the relevant up / downstream systems. eQube^®-DaaS based approach future proofs the MDM architecture to accommodate changing business conditions as well as addition of newer systems.