What type of predictive scenario can write back to a planning model?
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning
SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models
You have a live data model with two dimensions: Firstname and Lastname. Users want a single
dimension in the data model that displays the dimensions as Lastname, Firstname. What must you
do?
To combine two dimensions, Firstname and Lastname, into a single dimension displaying as Lastname, Firstname in a live data model, you should create a calculated dimension in the data model. This calculated dimension will concatenate the two fields into one, according to the specified format. This approach allows for the creation of a new dimension that can be used across various reports and analyses within the model, maintaining the integrity of the original dimensions.
SAP Analytics Cloud Help Documentation: Creating Calculated Dimensions
SAP Analytics Cloud User Guide: Data Modeling Best Practices
You want to display differences between measures in a chart. What can you use?
To display differences between measures in a chart within SAP Analytics Cloud, you can use the Variance feature. Variance helps to highlight the differences or gaps between two data points or measures, making it easier to identify trends, outliers, or areas requiring attention in visual representations like charts.
SAP Analytics Cloud Help Documentation: Variance Analysis in Charts
SAP Analytics Cloud User Guide: Displaying Measure Differences Using Variance
You import data into a dataset. One of the columns imported is Year, and SAP Analytics Cloud
interprets it as a measure. How can you ensure that it is treated as a calendar year?
If SAP Analytics Cloud interprets a 'Year' column as a measure instead of a dimension, it should be changed to a dimension to ensure it is treated as a calendar year. This adjustment can be made within the model or dataset settings, where the column's role can be switched from a measure (quantitative value) to a dimension (qualitative value). Treating 'Year' as a dimension allows it to be used appropriately in time-based analyses, such as trends over time, without being aggregated like a numerical measure.
