Search Results forecast_period_id

Overview

The CE_FORECAST_PERIODS table is a core data object within the Oracle E-Business Suite Cash Management (CE) module, specifically for releases 12.1.1 and 12.2.2. It serves as the master repository for the column setup definitions created through the Automatic Column Setup functionality. This setup is fundamental to the Cash Forecasting process, where it defines the time periods (e.g., days, weeks, months) for which cash inflows and outflows are projected and displayed within forecast worksheets. The table's primary role is to store the configuration that dictates the structure and granularity of forecast columns, enabling systematic cash position analysis and liquidity planning.

Key Information Stored

Based on the provided metadata, the table's central purpose is to store setup information for forecast columns. The primary key, FORECAST_PERIOD_ID, uniquely identifies each configured forecast period. While the specific detail columns are not enumerated in the excerpt, typical data stored in such a table would include the forecast period name, sequence number, period type (Day, Week, etc.), start date offset, and the associated forecast header or template identifier. This structure allows the application to dynamically generate forecast worksheets with user-defined time buckets, translating financial transaction data into a period-based view for analysis.

Common Use Cases and Queries

The primary use case is the generation and customization of cash forecast reports. Administrators use the underlying data when configuring forecast templates via the Automatic Column Setup. Common reporting queries involve joining this table to forecast transaction lines to summarize projected cash flows by the defined periods. A fundamental SQL pattern retrieves all column setups for a specific forecast template:

• SELECT * FROM ce_forecast_periods WHERE forecast_header_id = :header_id ORDER BY period_sequence_num;

Another critical query supports forecast worksheet generation by linking period definitions to actual transaction data, often involving joins to tables like CE_FORECAST_ITEMS or CE_FORECAST_TRX_ROWS.

Related Objects

The table has a documented primary key constraint (CE_FORECAST_PERIODS_PK) on the FORECAST_PERIOD_ID column. This key is almost certainly referenced by foreign keys in other Cash Management tables that store forecast transaction details or assignment rules. While the specific foreign key relationships are not listed, in a standard CE schema, related objects typically include:

• CE_FORECAST_HEADERS: Likely joined via a FORECAST_HEADER_ID, as the periods are defined within a specific forecast template.
• CE_FORECAST_ITEMS or CE_FORECAST_TRX_ROWS: These transaction detail tables would typically contain a FORECAST_PERIOD_ID column to assign each item to a specific forecast column/period.
• Key APIs or views, such as CE_FORECASTS_PUB, may interact with this table to create or query forecast structures programmatically.