Which factor affects load time based on levels and formulas used?

The load time of data in Workday Adaptive Planning can be significantly influenced by performance. When considering performance in the context of data loading, it often involves how efficiently the platform can process the calculations and data transformations during the load process.

Complex levels and intricate formulas can require more processing power and time to compute, leading to longer load times. For instance, if there are multiple dimensions to calculate or if the formulas are complicated, this can introduce delays as the system works to gather and compute the required data. Therefore, optimizing performance is essential to ensure quick loading times, and understanding the relationship between the levels of data, the formulas applied, and overall performance is key for effective planning and analysis.

While other factors like security, dimensionality, and integration requirements do play significant roles in how data is managed and accessed within the system, they do not directly impact the efficiency and speed of the data load specifically as much as performance does. Security focuses on access control, dimensionality pertains to how the data is structured, and integration requirements involve how data is brought into the system from other sources. Understanding performance helps users streamline their processes and improve overall system efficiency.