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xP&A Operational Workforce Planning - Create Predictive Scenario

This tutorial provides information about how to create a Predictive Scenario for machine learning based pre-population of plan data

Overview

🎓 intermediate 30 min. SAP Analytics Cloud Analytics DesignerIntermediate

You will learn

  • โœ”The benefits of using Smart Predict capabilities in the context of the xP&A Operational Workforce Planning content package for SAP Analytics Cloud
  • โœ”Which steps are required in order to make Smart Predict work
  • โœ”This includes… -creating and setting up Predictive Scenarios -embedding Predictive Scenarios into Multi Actions -adjusting the planning applications to enable Smart Predict
Rudolf Lindt R Rudolf Lindt August 7, 2024
Created by November 2, 2022
Contributors

Prerequisites

Prerequisites

Steps

Intro

In this tutorial you will learn how to create and embed a predictive scenario.

In case you have any questions or require further support, please use the SAP Question Form.

If you have a specific request to our team in regards to the business content, you may also submit a request using the SAP Influence Platform.

If you are interested in more xP&A topics, related business content packages, or videos showing the content in action, feel free to check out our community page Extended Planning & Analysis Business Content.

Step 1 Understanding the term Smart Predict
โ€”

To quote SAP’s official definition, Smart Predict describes the use of SAP machine learning algorithms to explore relationships in your dataset and build a formula โ€“ a Predictive Scenario โ€“ to predict future events or trends. Currently, three types of Predictive Scenarios are available in Smart Predict: classification, regression, and time series Predictive Scenarios.

In the context of the xP&A Operational Workforce Planning Content Package for SAP Analytics Cloud, it is possible to make use of the time series Predictive Scenario to pre-populate future planning periods with planning values. In contrast to the standard pre-population functionality which is offered, where all values from one single historical period are copied and pasted to the periods of the plan horizon, the machine learning based algorithm is able to detect patterns in historical data and make more precise and realistic assumptions about what the future could look like. This includes mirroring seasonal cycles, upward or downward trends, fluctuations and much more.

In the following exercise, you will learn which steps are required in order to create a time series forecast scenario and how to enable Smart Predict capabilities within your planning applications.

INFORMATION

  • All of the applications delivered with this content package are already prepared in a way so that you can quickly make use of the Smart Predict capabilities. This also includes the Multi Actions, which are used to start the data preparation for the machine learning algorithm and the time series forecast itself.
  • What it left for you to do is to create a Predictive Scenario and embed it into the prepared Multi Actions.
  • Please note that a time series forecast can only be performed when enough historical data for training the algorithm is available. 5:1 is a good ratio to estimate the horizon and get predictions with relevant confidence intervals.
  • Learn more about time series forecasting in SAP Analytics Cloud in the blog post Time Series Forecasting in SAP Analytics Cloud Smart Predict and Predictive Planning in Detail.
  • Please also note that the time series forecasting method in the context of this content package can only be used for the aggregated planning scenario.
Step 2 Create Predictive Scenario
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Step 3 Set Up Predictive Scenario
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Step 4 Integrate Predictive Scenarios into Multi Actions
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Step 5 Activate Smart Predict in Planning Application
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Step 6 Run the Predictive Algorithm and Review Results
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Step 7 Final Remarks
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Steps
Step 1 of 7
1. Understanding the term Smart Predict 2. Create Predictive Scenario 3. Set Up Predictive Scenario 4. Integrate Predictive Scenarios into Multi Actions 5. Activate Smart Predict in Planning Application 6. Run the Predictive Algorithm and Review Results 7. Final Remarks

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