With the advent of Sensor technology, there has been a tremendous change in Health management. There has been an explosion of data generation, the formats of data have become inconsistent and storage has increased exponentially. To manage its member health and expectations, it has become mandatory for Health systems to deal with all types of information. This has led to need of a structured approach in managing the data. Data Management / Data Governance programs help in managing data at scale.
Traditional approaches to data governance use quality assurance strategies that try to improve data quality for a small number of data assets. With enterprise data landscapes growing in volume and complexity, such approaches are no longer feasible for enterprise-level data governance.