Master Data is only one facet of Data Governance

All successful data governance and data management programs including those that only consider Master Data Management as a first step, have to be implemented by people. These could be stakeholders from the business, members of IT, a specialized group of people that form a data management organization (DMO) or they could be external consultants or service providers.

A well-implemented and maintained MDM practice avoids duplicates, redundancy, and inconsistencies.

Data Governance: Master Data is but one facet

Things that are worth doing, often take time, and the same is perfectly true about data governance and the implementation of master data management as part of a more broadly focused data management program. It isn’t something you do once, and then you’re done.

Over time your organization will determine that the true value of data is often hidden in how it is used in ways that were perhaps less obvious at the outset.

Fast-evolving data and data needs mean that the job of data governance never really ends and so your business will need to keep pace with these changes both in terms of how the data itself is managed but also in how teams think about the data.

Customer master data management data types

Depending on the nature of your business and the relationship that you have with your customers you may have several different types of customer master data that you choose to manage and maintain. There are other types of customer data that you may need to manage too, data types that you don’t necessarily always think of as master data but which may benefit from being stored and retrieved centrally as required.

Pretectum’s Customer Master Data management system (C-MDM) doesn’t prescribe what you should or should have as that basic data definition, it is entirely up to you. While we may offer some standard models (schemas) and your systems may have specific minimum requirements, those can be supported but the end decision is up to you.