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You have a story based on an import model. The transaction data in the model's data source
changes. How can you update the data in the model? Note: There are 2 correct answers to this
question.
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.
Which features are available in the Optimized Design Experience? Note: There are 3 correct
answers to this question.
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 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.
What is required to use version management in a story?
SAP Analytics Cloud Help Documentation: Version Management in Planning
SAP Analytics Cloud User Guide: Using Planning Models for Versioning
