Which feature of SAM focuses on arranging data for clarity and usability?

Choosing the feature of Software Asset Management (SAM) that emphasizes arranging data for clarity and usability involves understanding the role of discovery and normalization.

Discovery and normalization are critical processes within SAM that ensure the software applications and licenses within an organization’s portfolio are accurately identified and categorized. The discovery phase involves scanning the network to detect software installations across all devices. Following that, normalization takes place, which involves standardizing the collected data into a coherent structure. This process adjusts the raw data into a format that is easy to understand and utilize for decision-making.

By effectively organizing the data, normalization provides clarity regarding the software environment, enabling organizations to have a comprehensive view of what software assets they have, where they are located, and how they are being used. This sets the groundwork for effective management, which includes compliance checks, license optimization, and overall strategic planning related to software resources. Thus, the feature of discovery and normalization is essential for ensuring that data is not only accurate but also presented in a way that enhances usability and facilitates better decision-making.