Dynamic Data Integration Part II

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 data-driven enterprises, data governance should be regarded as a strategic centerpiece to that mission.