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          Considerations for Setting Up Einstein Forecasting

          Considerations for Setting Up Einstein Forecasting

          Before setting up Einstein Forecasting, review the requirements and considerations.

          Required Editions

          Available in: Lightning Experience and Salesforce Classic
          Available with Sales Cloud Einstein, which is available in Performance and Unlimited Editions, and for an extra cost in Enterprise Edition
          • Salesforce Forecasting must be enabled.
          • You must work with opportunities in Salesforce for at least 12 months. Specifically, the opportunity history must show at least one update in each of the past 12 months.
          • You must use a standard fiscal year. Standard fiscal years follow the Gregorian calendar, but can start on the first day of any month of the year.
          • Forecasts must be measured by opportunity revenue. Predictions are generated for only the oldest activated opportunity revenue forecast type.
          • Your forecast hierarchy must include at least one forecasting enabled user who reports to a forecast manager.
          • You must use the standard Opportunity object and the standard Close Date and Amount fields. Custom date fields aren’t supported.
          • The Amount field should be populated in at least 80 percent of open opportunities.
          • Opportunity splits aren’t supported. The forecast predictions are based on total revenue, not shared revenue.
          • Territories aren’t supported. Forecasts are measured by opportunity revenue, which is based on the user role hierarchy.
          • To view the prediction graph on the home page when Einstein Forecasting is enabled, you must enable historical trending for Forecasting Item.
          • You can use Einstein Forecasting only in production orgs, not sandboxes.
          • Avoid setting field-level security on the Sales Insights Integration User Profile for opportunity fields that you want to use to optimize your predictions. It can impact your forecasting accuracy.
          • If you plan to use field filters to segment your opportunities, be aware of what happens when you delete or deactivate picklist field values.
            • If you delete a picklist value from a standard field, you can’t use the value to set up a field filter.
            • If you deactivate a picklist value from a standard field, you can’t use it to set up a field filter. However, existing field filters based on that value still work with opportunity records that contain the deactivated value.
            • If you create a field filter using a standard field value and then delete the filtered value from the field, the filter still functions, but appears in Setup with a blank value.
            • If you delete a picklist value from a custom field, it still appears in Setup, but any filter created with that value doesn’t function.
            • If you deactivate a picklist value from a custom field, it can still be used to set up a field filter.
           
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