What method must be used if you want to perform complex calculations in analytics?

Utilizing a compare table with a calculated field is the appropriate method for performing complex calculations in analytics. This approach allows analysts to create new metrics based on existing data by defining custom formulas that can incorporate various dimensions and measures. By leveraging calculated fields, one can manipulate data in real time, providing deeper insights and facilitating more comprehensive analysis without the need to leave the analytics platform.

This method can handle complexities such as conditional statements, aggregations, and other mathematical operations, making it a powerful tool for analysts who want to derive new insights from their data. Compare tables, combined with calculated fields, enable easy visualization of these calculations, supporting better decision-making based on analysis.

The other options do not provide the same flexibility or depth required for complex calculations. Relying solely on existing calculations limits the ability to create custom metrics tailored to specific analytical needs. Using the widget builder exclusively might enhance visualization and interface customization but does not inherently support the execution of complex calculations directly on the data itself. Conducting manual computation outside the platform is not efficient for analytics tasks, as it disconnects the calculations from the dynamic datasets and real-time insights the analytics tool is intended to provide.