ABSTRACT
Assuring data governance is essential for data analytics and enabling data provisioning to power digital transformations. This chapter details the organizational embedding, processes, and tooling, as well as the required business involvement. In the (RACI) tables, the responsibilities in data governance are explained, and the governance meeting structure is detailed.
There are two questions that any organization should ask themselves. First, what are the opportunity costs of not getting data governance right? Poor data governance can impact digital transformation success and the ability to make data-driven decisions, and it can also jeopardize compliance. Second, what are the data governance in-house capabilities? Building data governance requires experience, focus, and effort. Empowering experienced and qualified professionals to drive data governance is important for designing a robust data governance strategy, as well as executing and improving data governance over time. Most organizations appoint a senior person, such as a chief data officer or head of data, to launch data governance, starting with a small team of data management professionals, with growth over time, to ensure a proper implementation of data governance.
