Customer relationship management applications aimed at analyzing customer data for improving business performance are best described as:

Analytical customer relationship management applications are specifically designed to gather and analyze customer data in order to inform decision-making and improve business performance. These applications focus on understanding customer behavior, preferences, and trends through data analysis, which can help businesses to tailor their strategies and enhance customer satisfaction.

By leveraging various data sources, such as sales records, customer interactions, and market research, analytical CRM tools enable organizations to extract actionable insights. For example, they can identify high-value customers, predict future buying behaviors, and develop targeted marketing campaigns based on data-driven findings.

In contrast, operational customer relationship management applications primarily deal with the day-to-day management of customer interactions and processes, focusing on automating tasks like sales and customer service rather than on deep analysis. Supply chain management applications are unrelated to customer data analysis, as they focus on processing and integrating logistics and inventory data. Generic customer relationship management applications lack the specificity of being analytical or operational, making it clear that analytical CRM is the most accurate description for applications aimed at enhancing business performance through data analysis.