What if analysis sap

Alert Moderator. Alerting is not available for unauthorized users. Assigned Tags. Similar Blog Posts. Related Questions. Be the first to leave a comment. You must be Logged on to comment or reply to a post. Link Text. Open link in a new tab. No search term specified. Showing recent items. After confirming the values, you can open the simulation panel and perform calculations and check again how the changes affected the total revenues.

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Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. We create a new Value driver tree, add a name and description and select the base model: In the first tab, complete the default calculation and presentation date: In the second tab, add nodes for which we will perform calculations.

First, we select the previously created version of the forecast, for which we will save the simulation results: Now we add a new data source type node that provides data from the model and is used as the basis of the calculation for the other nodes.

This configuration causes the nodes to be connected automatically: We go to the last tab, which shows how VDT will be displayed in the report. Then we can manage the change through conditional formatting, filters, etc. In my Sales Organization very simple! The dataset also contains the sales revenue per each Sales Representative like the below screenshot.

You can notice that the sales revenue per region is different. So to obtain that result, I will do What-if analysis by moving the sales representative in the regions. I need to create 3 hidden tables.

Each table only contains the Sales Representative. There will be:. Now I need to create 3 input controls based on Sales Representative and each input control is liked to one of the hidden block:. Everyone can collaborate.

Finally, Predictive Planning, provides the ability to automate data-driven governed enterprise planning with time series forecasting through a tight integration. Predictive Planning is designed for self-service. This experience is targeted towards line of business users.

It does not require IT Information Technology or data science abilities. What if the data set changes - do we have to redo the whole dataset again? And what if new data needs to come in - is that still a manual task.

Follow this space closely as we are planning to bring new innovations and improvements to Datasets already in Q1. Skip to Content. Product Information Chris Pritchard. November 5, 2 minute read. Smart Predict: Time Series Forecasting After the data preparation step with smart wrangling, time series forecasting helps business analyst to make informed business decisions and go further in his self-service analytics experience, because it can be based on historical data patterns.

What-If Analysis What-If the business analyst would like to simulate different What-If type of scenarios on forecasted data?