4 Common Master Data Management Implementation Styles

What the foundation of your Master Data Management (MDM) system is built on will depend on the implementation style you agree gives you the best chance of project success. And this will largely be determined by your business situation when it comes to data management.

There are a few different implementation styles to choose from with the main differences being whether you control your data from a central hub or synchronise the hub with your existing data sources.

But why is it essential to give careful consideration to the style of implementation?

Maintaining a single version of the truth across your organization is a high priority for most organizations – alongside meeting compliance and regulatory obligations. Focus is placed on improving data quality, establishing guidelines for data governance and ensuring data can be easily managed and accessed across the business.

Each of these factors can be achieved by using most common implementation styles. However, Master Data Management systems vary widely between organizations, and your type of deployment will depend on your core business, corporate structure and company goals.

Your MDM solution provider will be able to advise you on the best approach depending on your business needs. Here we take a look at four common Master Data Management implementation styles to help you decide which one most closely matches your organizational requirements.