All of the following are data governance inputs EXCEPT:

Data governance inputs are essential elements that guide and inform the governance of data within an organization. These inputs help shape the policies, processes, and practices necessary for managing data effectively.

Business goals serve as foundational inputs because they define what an organization aims to achieve and how data can support those objectives. Understanding data needs ensures that the data governance framework aligns with the specific requirements for data usage and management within the organization. Identifying data issues is crucial as it highlights challenges or discrepancies in current data practices that the governance initiative might need to address.

Recognized data value, while important to the overall data strategy and goals of the organization, does not typically qualify as a direct input to data governance. Instead, it is more of an outcome or perspective on how data is perceived once governance is in place. This perspective may influence decisions but does not shape the governance processes in the way that business goals, data needs, and data issues do.

Therefore, recognized data value stands apart from the other options as it reflects a result of successful data governance rather than an input that affects governance decisions directly.