Smart Predict Scenario

In this exercise, you will create a Smart Predict scenario with the energy price as an influencer.

Creating a Smart Predict Scenario

1. Click on the Predictive Scenario icon on the left, in the main navigation panel.

   

2. Click on the Time Series Forecast tile to create a new Time Series Forecast scenario.

   

3. Under My Files, enter the name for your predictive scenario: Predictive Liquidity Planning Then click OK to save it.

4. Click on the icon to choose a Time Series Data Source model for the predictive scenario.

   

5. In the Time Series Data Source window that appears, click on the model you created in the previous exercise: NEW_SAP_FI_CLM_IM_LIQUIDITY_PLANNING

6. In the Settings panel on the right, under Predictive Goal make the following selections for the Target:

• Measure: Amount
• Account: Energy Expenses
• Date: Time
• Number of Forecast Periods: 12
• Entity: Company Code & Transaction Currency

7. Further down the panel, under Predictive Model Training make the following selections:

• Convert Negative Forecast Values to Zero: Set to ON
• Include As Influencers: Amount & Energy Price / GWh
• Click on the ✓ validation icon to validate that the influencer will be used. Once the selections are made click the Train & Forecast button.
  

8. Your Smart Predict Scenario is now created! You can now review the results.
   

Summary

Now that you have created a Smart Predict scenario, you can continue on to the next lesson Create a Multi Action.