4 Popular Master Data Management Implementation Styles
Datamation, Tuesday, August 22,2023
Master data management is a technology-enabled discipline to ensure that all shared master data assets are uniform, accurate, and consistent. Master data refers to the identifiers and extended attributes that describe the business's core entities, including customers, prospects, citizens, suppliers, sites, hierarchies, and accounts-in master data management, business and IT units work closely together to create a single master record for each person, place, or thing in the organization to achieve a single source of trust.
This article looks at four of the most popular master data management implementation styles- Registry, Consolidation, Coexistence, and Centralized-and details how they work and when each of them is typically used.
Master Data Management Implementation Styles
While the goal of master data management (MDM) is clear enough, achieving it is easier said than done. Data comes from a wide range of sources, and in many formats. That means there's always going to be data quality issues and other challenges involved in consolidating, verifying, and aligning an organization's data.
As a result, there are many different approaches to master data management. Some involve heavy centralization while others take a more federated or distributed mindset. Organizations should select the one that best suits their existing situation, including information architecture, strategic direction, corporate structure, regulatory constraints, and business preferences.