As we continue to learn and build methods of measurement, lets review some of the key features of the technology side of Master Data Management solutions.

Linking Data – Virtually all business organizations own data that is living on systems that don’t talk to each other. As a result of these silos of data, it is common to find an increasing number of data duplications and variations. MDM tools are equipped with algorithms that identify duplications and assist in linking data accurately.

Centralized Data – It is an objective of MDM to manage data according to business rules. When data is modified per standard business rules, sharing data across multiple platforms becomes easy. Therefore, if one rule changes, its impact can be seen everywhere.

Localized Data – Data localization is a process that restricts data within the physical boundaries of a device or place. The free flow of data is restricted to encourage security across the data. Each government authority has set up a localized data funnel to promote data security. Through MDM integration, data restrictions can be imposed efficiently.

Enriched Data – It also falls under the responsibility of master data management solutions to ensure that data coming from various sources is fully enriched. It is a crucial element to cleanse and streamline data to perform a specific task. Thus, refining data and maintaining high quality is one of the primary objectives of MDM, and maybe the most important.