A global financial institution has decided to integrate data from branch locations into a common...

Analysis of data flows and the full data life cycle should be conducted at the enterprise level, because it provides a holistic and comprehensive view of how data is created, stored, processed, used, and disposed of across the entire organization. By conducting data analysis at the enterprise level, the financial institution can ensure that the data integration from branch locations is aligned with the business objectives, needs, and expectations, and that the data quality, security, and compliance are maintained throughout the data life cycle. Data analysis at the enterprise level can also help to identify and address any data gaps, issues, or risks that may affect the regulatory reporting requirements or the performance and value of the data. According to Data Life Cycle and Data Governance What CDOs and CISOs Can Learn, “Data governance is an enterprise-wide program that requires a holistic approach to managing data throughout its life cycle.”