Involvement and accountability in Master Data Management initiatives

The idea of having a single view of all business data is so enticing that businesses sometimes rush into a decision, at a cost. All too often C-level executives make the decision without involving the next level of management, who more often than not, are the primary users of data.

In Paul Bergamo’s article with Jesus Arriaga1, they outlined that companies often fail in implementing MDM initiatives due to lack of clear objectives. They also indicated that these initiatives fail when IT moves forward without business buy-in.

I would agree that business buy-in is one of the most important aspects for a successful MDM implementation. But more than that, buy-in is important to create accountability. I believe that the decision makers’ responsibilities do not end when the decision is finalised. They should be held accountable for all data inputs including data quality and for any data issues that arise.

Implementing a Master Data Management initiative requires a well-thought out plan that:

1. Involves end users in decision making;
2. Defines clear objectives to those involved; and
3. Keeps them involved and accountable for their decisions.

I have found that using such an approach, you engage the end users whose support and accountability is invaluable to such a large scale initiative.

How did you approach the implementation of your MDM plan?

• 1. Paul Bergamo and Jesus Arriaga. 2010. Getting a Master Data Management master plan. http://www.cio.com/article/646744/Online_Exclusive_Getting_a_Master_Data_Management_Master_Plan