Mapping forecast requirements to Data Processing Engine node types
Key Takeaway
Match each forecast requirement to the Data Processing Engine (DPE) node type that delivers it. A Formula node calculates a field value. A Join node combines data from two nodes by matching field values.
In Advanced Account Forecasting, the Data Processing Engine (DPE) plays a key part in forecast calculations by running a definition made of linked nodes. Each node type changes data in one specific way, so you close a forecast gap by matching each new requirement to the node type that delivers it. You also need to finish the setup work that has to come before any change to the definition.
How a DPE definition is built
A definition has three kinds of nodes.
- A Data Source node holds the input data.
- One or more transformation nodes apply the logic.
- A Writeback Object node sets where the results are written.