Cultivating a Culture of Data Quality in the Data Management Lifecycle
By Upuli de Abrew, Co-Founder and Director at Insight Consulting
As it is in the natural world, data also experiences a lifecycle, from gestation through birth, metamorphosis, maturity and eventual death. Just as a young bird needs to be taught to fly and a lion cub must be taught to hunt, data also needs care and direction from custodians. However, unlike nature, data will rarely be able to stand on its own and instead need constant tending from its custodians, known as data stewards, throughout the entire data management lifecycle (DML).
The data management lifecycle comprises data collection, data ingestion, data storage, data usage, data maintenance, data archiving and data destruction.
Effective data stewards spend a great deal of time ensuring that data quality is maintained throu...
