Ashish VaziraniPrincipal,ZS Associates
John DeSarboPrincipal,ZS Associates
Bhargav ManthaManager,ZS Associates
Kyle HellerManager,ZS Associates
Establishing a strong foundation of data governance is important for a master data management (MDM) initiative to succeed, as I outlined in my last post. But it’s not enough. In addition to a governance model, we have to set the right expectations about what MDM is and what its implications are.
In a conversation with one of my technology clients on launching a Master Data Management (MDM) program, we discussed why the failure rate for such initiatives is so high. One of the reasons is that companies often ignore data governance, or it is almost always an afterthought in any customer data integration project.
It made me think that if data governance is so important—but often ignored—companies may not really understand the need for data governance.
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