As you build a model in the new modeling experience, include Past years to cover the length of your historical data. Include Future years in your model calendar settings and set it to cover the length of your forecast horizon. 

Ensure the model has modules to contain your source data for your data collection setup, and a forecast results module to contain your predictions, generated by PlanIQ.

To set your model calendar for your forecast horizon:

  1. In Model Calendar, select one of these options for your Calendar Type:
    • Calendar Months/Quarters/Years
    • Weeks: 4-4-4, 4-5-4 or 5-4-4
    • Weeks: General
      If you choose this option, go to Weeks: General below.
    • Weeks: 13 4-week Periods

      Your data collection timescale is based on this selection.
  2. Select your fiscal year settings, including the Current Fiscal Year.
    Use this as a basis for how many past and future years you select in steps 3 and 4.
  3. Select the Number of Past Years to match the time length of your historical data.
  4. Select the Number of Future Years so this covers the length of time you want your predictions to cover. That is, your forecast horizon.
    It's important that this selection covers the whole length of the forecast horizon. This ensures your predictions can import into your forecast results module
  5. Complete any other fields, and select Apply.
    If you need to predict for a different amount of time, make sure you return to your model calendar and adjust the settings to match your new forecast horizon. 
Check your model calendar settings accomodate the length of the forecast horizon so they can hold your forecast results.

Weeks: General 

For Weeks: General: 

    1. Select the start date for your historical data time period.
    2. Enter the total number of weeks that cover the time period of your historical data plus the length of your forecast horizon. 
    3. Select your current period from the dropdown. 
    4. Select Apply.
      Make sure you always adjust your model calendar settings so they cover the length of your historical data and forecast horizon.
In this example, the historical data is for a period of 13 weeks and the forecast horizon is for 13 weeks ahead. The total number of weeks is 26 weeks.

Next, create a module for your historical data


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