# Revenue Forecasting
URL: https://docs.datarobot.com/en/docs/wb-apps/app-templates/business-planning/at-rev-forecast.html

> Provides a predictive model development and deployment workflow in DataRobot for revenue forecasting.

# Revenue Forecasting

> [!NOTE] Premium
> Contact your account team to learn more about deploying this premium template for your organization.

The Revenue Forecasting application template, part of the Finance Suite, provides a predictive model development and deployment workflow in DataRobot for revenue forecasting. It utilizes data sourced from S/4HANA via SAP Datasphere and writes back predictions to Datasphere to allow exposure through Analytics Cloud.

This application template helps to enable data-driven financial planning, optimized cash flow, growth opportunity identification, and proactive risk management—creating a strategic differentiator that drives organizational growth, efficiency, and competitive advantage. You can create multiple forecasts to align with organizational structures and requirements, allowing various departments to leverage the data in the granularity and timeframe they require.

## Key features

- Accurate and transparent forecasting models—Leverage DataRobot’s extensive set of algorithms and tuning capabilities to make sense of large volumes of data. Discover key drivers and insights at the aggregate and individual levels.
- Seamless SAP integration—Experience smooth data exchanges between SAP and DataRobot via the Datasphere connector, accessing source data and writing back predictive results. This closed loop allows you to continue using your current infrastructure while augmenting it with the advanced AI capabilities that DataRobot provides.
- Flexible external data integration—Enhance models by leveraging both standard and custom fields in SAP, or incorporate third-party data sources, capturing complex patterns beyond traditional models. This template provides predefined data queries and has the flexibility to be adapted as required.

## Architecture

This template provides the below end-to-end AI architecture, from raw inputs to deployed application, while remaining highly customizable for specific business requirements.

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