Managing an information governance program in a company must involve measuring progress and success through metrics that demonstrate how it is adding value to the business and achieving goals. In choosing and developing the most relevant metrics, several aspects need to be considered. For example: it is good to identify a few key measures that can be easily represented and explained and focus reporting on them. While it is true that “you cannot manage what you cannot measure,” it is also true that “measuring costs money.” In general, it is useful for metrics to be as consistent as possible and linked to each other by a logical scheme. In addition, it is critical to identify a formalized process that involves the necessary stakeholders to ensure the creation of a shared tracking system. Equally important is to explicitly define the meaning and calculation formula of each metric: a poorly defined indicator will be not only misleading but also more difficult to accept. Finally, it is advisable to set up automated calculations where possible and establish consistent comparisons over time to ensure compliance across analysis periods. This white paper explains how to guide the selection of the most appropriate quality and performance indicators for measuring Data Quality and Data Governance garrison and projects.