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Author's profile photo Thierry BRUNET

Predictive Planning – How to keep a private version after publishing predictive forecasts?

The goal of this blog is to explain how to keep the private version of a planning model to which predictive forecasts were generated. Predictive forecasts are generated from historical data contained in the planning model, and are written back to a private version of this planning model. To retrieve those forecasts in a public version, the planner must publish the private version. A side effect of the publication is the deletion of the private version once it is copied to a public version. So, if planners want to revisit the predictive settings to get better forecasts, they have to restart from the beginning. There is a simple way to avoid this rework, as you can see from the figure below.

Fig 1: Workaround to keep the private version used by the Predictive Scenario

There is a new step before the publication of the private version. It involves the creation of a copy of the private version. It is this duplicated private version that will be published as a public version, and then deleted. The original private version is then still available to store new forecasts. So, the planner could go back to the first private version if needed.

Let see an example of how this works. This video shows the example in action.

The use case is about forecasting car sales in European countries by car brands. The planner has historical data since 2015, and the objective is to forecast sales in 2020 by country and brand. The screenshot below shows a story on the planning model. You can see here the “Actual” version of the data, but in general, the planner won’t work directly on this version. Instead they will work on a copy called here “Forecast”.

Fig 2: Story on planning model with Actual and Forecast versions

The planner creates a private version as shown below. It will be their working version in which predictive forecasts will be generated. So, there is no need to copy historical data in this version.

Fig 3: Creation of the private version of the planning

As soon as the planner clicks on the “OK” button, the private version called “Car Sales Private” is created.

Fig 4: Private version created

The planner saves the planning story and creates a Predictive Scenario. They choose a time series Predictive Scenario and name it “Car Sales”. They then select the planning model as data source, and the version with historical data that will be analyzed to create the forecast. This is the public version named “Forecast”.

Fig 5: Predictive Scenario is created using the public version “Forecast” for historical data

The planner then chooses the account member “SALES” as signal (value to predict), and the date dimension “DATE”. As the planner wants to predict the full year 2020, the number of forecasts is 12 months. The planner wants predictions for all valid combinations of country and brand. Thus, they select the dimensions “COUNTRY” and “BRAND” in the “Entity” field. In the end, the settings panel looks like this.

Fig 6: Setting panel of the Predictive Scenario

The planner selects the “Train & Forecast” button to build a predictive model. After a while, they can inspect the explanation pages for each country and brand, and get the sales forecasts for 2020. To get details about these pages, I invite you to read this blog “Time Series Forecasting in SAP Analytics Cloud Smart Predict in Detail”.

Fig 7: Predictive model for 2020 for Germany and Porsche

Assuming the planner is happy with these predictive forecasts, they want to report them into their working version of the planning model. To do that, they click on the “Apply” button, and they select the private version of the planning model.

Fig 8: Create forecasts and save them in the private version of the planning model

Once done, the planner goes back to the planning story to see the private version updated with the predictive forecasts.

Fig 9: Sales forecasts reported on the private version of the planning model

The planner can now use planning features like allocation process to adapt and refine the private version to meet their expectations and their objectives.

Once ready, if the planner publishes now, the publish mechanism updates the public version with the data of the private version, and will delete this private version. Note that there is also a “Publish as” that creates a new public version, but the private version is deleted in the end. If the planner wants to come back to the Predictive Scenario to refine it to get better predictive forecasts, they need to repeat the complete process. So, they have to recreate the private version, to share it with other planners, and to recreate the predictive scenario. This might be required, for example, every month when the planning is updated with actual values, and the planner wants to get new predictive forecasts. However, if they just want to adjust predictive settings, it’s a waste of time. To avoid this, the planner will first duplicate the private version as shown below.

Fig 10: Duplicate the private version

There are now two private versions:

  1. Car Sales Private which is linked to the Predictive Scenario
  2. Car Sales Private (copy) just created

Fig 11: Two private versions

In the Version management panel, the planner selects the copy of the private version, and clicks on the “Publish” button.

Fig 12: Publication of the copy of the private version

Then they choose the public version of the planning.

Fig 13: Publish on the working public version named “Forecast”

The content of the private version now appears as a public version, and the copy of the private version has been deleted.

Fig 14: Predictions and adjustments published and copy of private version deleted

I hope these steps will help save you some time in the future. If you appreciated reading this, I’d be very grateful if you left a comment to that effect, and don’t forget to like it as well. Thank you.

Resources to learn more about Predictive Planning.


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      Author's profile photo Jef Baeyens
      Jef Baeyens

      Hi Thierry, upon publishing a private version to a public version, how does SAC decide which data range to override? And how can we influence that? For example: not to override any manually planned forecast data in public version.

      Author's profile photo Thierry BRUNET
      Thierry BRUNET
      Blog Post Author

      Hi Jef, if you publish through the dialog, the two choices you have are the public version you want to update and if you want to report comments done on the private version to the public version.

      When publishing a private version back to the public version it was copied from, the system only updates values that were actually changed in the private version. If nothing was changed in the private version then nothing will be updated in the public version. It is with this mechanism that predictive forecasts saved in the private version have been published to the public version which at the end contains historical data and predicted values for 2020. This is the default behavior.

      Now there is a way to have more control. It is to enable Data Access Control for a dimension in the planning model. It restricts in the public version the data you can change by assigning read/write or only read permission. In your private version you can do any change you want, but changes on dimensions which have only read access in the public version will not be reported during the publication. You will find more details in the help about how to set Data Access Control.

      The next question might be how to preserve human-driven forecast?

      The answer depends on where you do human-driven forecasts. Suppose you have historical data until 2018 and you do human-driven forecasts for 2019, but request help for the forecasts of 2020. The attached document explains how to preserve in your public version your human-driven forecasts for 2019 and get the forecasts for 2020 coming from Predictive Planning.

      But if you do manual adjustment forecast for 2020 and request also Predictive Planning for 2020, you will have to choose which forecasts to keep.

      First you can compare the two forecasts (human-driven and Predictive Planning) and if you want to keep values from both type of forecast, you have to enter them manually.

      I hope this answer to your questions.