Search Results ce_forecast_trx_cells




Overview
Explore in AI Chat

Overview

The CE_FORECAST_TRX_CELLS table is a core data structure within the Oracle E-Business Suite Cash Management (CE) module, specifically for releases 12.1.1 and 12.2.2. It functions as the detailed repository for transaction-level forecast data. In the context of cash forecasting, this table stores the individual forecasted monetary amounts that result from the intersection of forecast rows (representing specific transactions or transaction sources) and forecast columns (representing specific time periods). Its primary role is to enable the detailed storage, analysis, and reporting of projected cash inflows and outflows, forming the granular foundation upon which summarized cash position forecasts are built.

Key Information Stored

While the provided metadata does not list all columns, the documented foreign key relationships and primary key define its critical structure. The central column is FORECAST_CELL_ID, which serves as the unique primary key identifier for each forecast data point. The table's purpose is defined by its three key foreign key columns: FORECAST_ROW_ID links to the CE_FORECAST_ROWS table to identify the specific transaction or source being forecasted. FORECAST_COLUMN_ID links to the CE_FORECAST_COLUMNS table to identify the specific time period (e.g., a day, week, or month) for the forecast. BANK_ACCOUNT_ID links to the AP_BANK_ACCOUNTS_ALL table, tying each forecast cell to a specific bank account. The table would also contain at least one amount column (not explicitly named in the metadata) to store the forecasted value (e.g., AMOUNT, FORECAST_AMOUNT) for the given row, column, and account combination.

Common Use Cases and Queries

This table is central to querying detailed forecast data for analysis, reconciliation, and reporting. A common use case is investigating the detailed composition of a forecast for a specific bank account and time period. For example, to retrieve all forecast transaction details for a given account in a specific forecast column (period), one might use a query joining the related tables:

  • SELECT row.forecast_item_name, cell.amount, col.column_date
  • FROM ce_forecast_trx_cells cell,
  • ce_forecast_rows row,
  • ce_forecast_columns col
  • WHERE cell.forecast_row_id = row.forecast_row_id
  • AND cell.forecast_column_id = col.forecast_column_id
  • AND cell.bank_account_id = :p_bank_account_id
  • AND col.column_date BETWEEN :p_start_date AND :p_end_date;

Another key use case is data validation and cleanup, where queries might identify orphaned cells or cells with null amounts. The table is also the primary source for custom reports that drill down from high-level forecast summaries into individual transaction projections.

Related Objects

The CE_FORECAST_TRX_CELLS table has defined dependencies on several key tables, as documented by its foreign keys:

  • CE_FORECAST_ROWS: Linked via CE_FORECAST_TRX_CELLS.FORECAST_ROW_ID. This table defines the forecast items or transaction sources (e.g., a specific invoice, payment batch, or manual entry).
  • CE_FORECAST_COLUMNS: Linked via CE_FORECAST_TRX_CELLS.FORECAST_COLUMN_ID. This table defines the time periods for the forecast, such as specific dates or accounting periods.
  • AP_BANK_ACCOUNTS_ALL: Linked via CE_FORECAST_TRX_CELLS.BANK_ACCOUNT_ID. This table stores the bank account information, anchoring the forecast data to a specific cash management entity.

The table is referenced by its primary key, CE_FORECAST_TRX_CELLS_PK (on FORECAST_CELL_ID), which is likely referenced by other objects or application logic within the Cash Management module for data integrity and navigation.