What are two challenges in providing trustworthy data from the discovery process?

The focus on inconsistent naming conventions and core processor identification issues highlights vital challenges in delivering reliable data from the discovery process. In the realm of Software Asset Management, having uniform and standardized naming conventions is crucial for accurate tracking and reporting. Inconsistent names can lead to confusion and duplicate entries, making it difficult to manage software assets effectively.

Core processor identification issues pertain to the accurate recognition of the hardware on which software is deployed. Misidentification at this level can result in significant implications for licensing compliance and financial management, as many software agreements are based on hardware specifications. Thus, addressing these challenges is essential to ensure that the data reflects a clear and accurate picture of software assets in an organization.

In contrast, while other challenges listed, such as software duplication and misidentification, or issues relating to data quality and processing speed, are indeed relevant, they do not encapsulate the specific obstacles related to the discovery process as accurately as inconsistent naming conventions and core processor identification issues do. These two challenges are fundamental aspects that directly affect the integrity and trustworthiness of the data produced during the discovery phase.