What term is used for data marked with dimensions for specific calculations?

The term "Tagged Data" refers to data that has been specifically marked or annotated with dimensions to facilitate specific calculations and analyses within a planning tool like Workday Adaptive Planning. This process of tagging allows users to categorize and manipulate data according to various dimensions such as time, location, department, or other variables relevant to their analysis needs. By having data tagged, organizations can ensure that their reporting and forecasting are accurate and tailored to their strategic requirements, enabling detailed insights and informed decision-making.

The other options do not capture this concept as precisely. "Data Analysis" refers broadly to the process of inspecting, cleansing, transforming, and modeling data to discover useful information, which does not specifically imply the use of dimensions for calculations. "Data Entry" is the act of inputting data into a system without any indication that it is being marked or dimensioned for specific purposes. Lastly, "Forecasting" involves predicting future trends based on historical and current data but does not inherently include the concept of dimension-tagged data. Therefore, "Tagged Data" is the most accurate term for data marked with dimensions for specific calculations.