What do Derived Values in the Integration Data Tiers help define?

Derived Values in the Integration Data Tiers play a crucial role in defining enterprise metrics, including Key Performance Indicators (KPIs). These metrics are essential for evaluating the performance and efficiency of different business processes. Derived Values are calculated or transformed data points that provide insights and enable organizations to make data-driven decisions.

In the context of integration data, derived values help synthesize and analyze information from various sources, transforming raw data into meaningful metrics that reflect the organization's objectives and performance. By establishing these enterprise metrics, organizations can better monitor their strategies, track progress, and implement necessary adjustments to enhance overall performance.

The other options pertain to different aspects of data management. While raw data entry processes focus on the initial collection of data, common keys are primarily concerned with linking different data sources or tables by establishing relationships. Summarization of raw data refers to basic data aggregation techniques, which do not necessarily involve the calculation of metrics or KPIs. In contrast, derived values directly target the synthesis of data to form actionable business insights, thus aligning with the definition of enterprise metrics and KPIs.