As Fannie Mae continue s on its journey of being a customer-centric digital business, having an ef fective data management practice is at the heart of it. From having an effe ctive data strategy that meets the business need to implementing processes supported by the right technology and people, we manage data through its li fecycle. With an effective Metadata Management strategy, which is core to h ow we manage data, an enterprise logical data model driving data standardiz ation, and an effective data quality practice, we have a solid data managem ent program that is governed effectively with a robust data stewardship fun ction.
\nIn this session we will cover:
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\n• Ho
w to define and implement an effective Metadata Management strategy
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• Develop a data modeling practice that enables data standardizat
ion
\n• Components of an effective data quality strategy
\n• Define and implement a robust data stewardship function
\n• Factors for a successful data governance program