*To achieve full completion for the course, please complete the survey and the quiz.

This course explores the role of attributes and metrics within a Shibumi framework. Participants will gain insights into various attribute types, including how to differentiate and manipulate Association and Metric attributes for specific needs. The curriculum covers essential techniques for modifying attribute editability, crafting calculated attributes, and leveraging Shibumi Expression Language for foundational calculations.

Additionally, the course describes metrics as time-bound attributes crucial for evaluating performance, discerning trends, and forecasting outcomes. It describes the Shibumi solution's versatility in handling Actual and Target data sets, offering App Admins the flexibility to activate up to six data sets. Key metric components—Unit of Measure, Period of Measure, and Target Direction—are explained to equip learners with the skills needed to effectively configure metrics and apply conditional formatting.