Master data management (MDM) is a subset of data governance that focuses on creating and maintaining a single, consistent, and accurate source of truth for key business entities, such as customers ...

The key in coordinating MDM and data governance is to logically, and physically, separate the target master data from the non-master data in the model. This is because only the master data—which tends ...

Proper governance sits on top of MDM, data movement, or data warehouse initiatives, and ensures active participation of the business in the definitional, sourcing, quality, and accountability ...

Some companies realize that they have to fix their MDM and data governance structures from the bottom-up, but that can seem daunting — a nearly impossible task. To fix data upstream, teams need to ...

This project simulates a global Master Data Management (MDM) process to transform and migrate Chart of Accounts (CoA) data from a legacy ERP system to a standardized OneCloud structure. Define and ...

Don’t be that IT department. Do let business outcomes set the parameters for data quality and data governance. Too often, data quality is done because it’s obvious to CIOs that organizations need ...

In today’s complex business environment, where data comes from many different sources, mastering data is key to preventing errors, duplications, and inefficiencies. This webinar explores how modern ...

5. Data profiling is a separate cost: Data profiling is another exercise to undertake to use MDM tools effectively. How does the data flow in the organization? What are the data governance and ...