The 3-3-3 framework for data governance

The data landscape of any organization changes rapidly as more and more organizations embark on the digital transformation journey, and more and more data footprints are created.

Efficiently collecting, managing, and harnessing this data footprint is pivotal for an organization's success. Therefore, data needs to be treated as a strategic asset. However, according to a survey conducted by McKinsey in 2019, on average, an employee spends around 29 percent of the time on non-value-added tasks due to poor data quality and availability. The lack of quality of data and the lack of proper data availability is a function of data governance. As more and more data becomes available for analysis, the principle of garbage in, garbage out begins to manifest.

The 3-3-3 framework creates a structure that is a great starting point:

Figure 6.1 – 3-3-3 framework for data governance

This framework focuses on the...