About Auto Predict

With Auto Predict, administrators can define a prediction to predict future performance based on historical data and schedule a job to run that prediction definition, automating the prediction process.

Auto Predict uses the same forecasting and statistical methods as Predictive Planning, but unlike Predictive Planning, you aren’t limited to running a prediction on a form. You can predict values for thousands of cells at once, when needed, by scheduling a job, and automatically write prediction results to a scenario/version—in the same cube or in a different cube from the historical data. You can also include Best and Worst Case prediction results. When you run the prediction, historical data for each member in the Auto Predict definition is retrieved and then analyzed using time series forecasting techniques to predict the future performance for these members.

Auto Predict is useful:

  • When you have large amounts of data to predict.

  • To jumpstart the forecasting process by pre-filling a prediction scenario with predictions based on historical data. Then, planners can compare predictions to forecasts.

  • For variance analysis. Seed a prediction scenario with prediction results, and compare predictions to forecast. To incorporate variance thresholds, you can define a groovy rule that requires planners to add explanatory commentary at a defined threshold, for example if the forecast is 5% greater than the prediction.

  • To pre-populate your Forecast or Plan scenarios before starting a forecast or planning cycle. Planners can use these prediction results as a starting point for their forecasts, and make adjustments as needed.

  • To keep predictions up-to-date as actuals come in by scheduling Auto Predict jobs. When new actuals come in, the job can run automatically to populate the cube; planners can see updated predictions and compare to forecast and plan.

Use Auto Predict results in forms, dashboards, and in ad-hoc analysis. You can also use Auto Predict prediction results within Smart View.

You define a prediction to read historical data from a cube (typically an ASO cube) and write prediction results to the same cube or to a different cube, for example to a BSO cube where planning and forecasting is done.

You can also use calendars and events with Auto Predict. For more information, see About Using Calendars and Events in IPM Insights, Auto Predict, and Predictive Planning.

To work with Auto Predict:

  1. Define the Auto Predict prediction. See Creating Auto Predictions for Forecasts.
  2. Modify application settings if needed to set the Prediction Interval. These settings are shared with Predictive Planning. By default, the prediction interval for worst and best cases is 2.5% and 97.5%. See Managing Application and System Settings.
  3. Run the Auto Predict prediction: See Running Auto Predict Predictions.
    • Run the Auto Prediction from the Auto Predict or IPM list.
    • Schedule a job to run the Auto Predict prediction automatically.

Videos

Your Goal Watch This Video

Learn how to set up an auto predict definition, and schedule a job to run that definition. See how to prefill a prediction scenario to jump start the forecasting process, and how to directly compare the system’s predictions to your ongoing forecast in real time. You compare predictions to Forecast and incorporate variance thresholds that require you to enter explanatory commentary. Also see how to seed plans or forecasts prior to starting the forecast cycle.

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Forecasting with Auto Predict in EPM Cloud Planning