Dynamic data integration incorporating data quality and master data management (MDM) assures consistency and reliability for upstream analytics and information sharing.  A pragmatic approach that treats all of a company’s data as big data will facilitate integration efforts.

In Part I, we stressed the importance of data quality.  In this post, we focus on MDM and the connection between the two as part of data governance strategy.

As financial institutions seek to become…

Distributed architectures with more fragmented data sets beget the need for a dynamic data integration platform that is flexible and scalable to bridge existing enterprise infrastructure to newer apps developed for cloud and mobility.  Data quality and master data management (MDM) are vital components of data integration to ensure consistency and reliability for upstream analytics. 

But in order to succeed, firms need to first establish and commit to an ongoing data governance program…