Search Results ams_forecast_dimentions

Overview

The AMS_FORECAST_DIMENTIONS table is a core data repository within the Oracle E-Business Suite Marketing (AMS) module, specifically for versions 12.1.1 and 12.2.2. As indicated by its description, its primary function is to store all the dimensions defined for an object. In the context of Marketing, this typically pertains to the structure and categorization of forecast data. Forecasts are critical for planning and analysis, and dimensions provide the analytical axes—such as time periods, product lines, geographic regions, or sales channels—by which forecast figures are segmented and evaluated. This table acts as a master reference, defining the permissible dimensional attributes that can be associated with forecast entries, thereby enabling multi-dimensional analysis and reporting within the application.

Key Information Stored

The central column in this table is the FORECAST_DIMENTION_ID, which serves as the unique primary key identifier for each dimension record. While the provided ETRM excerpt does not list additional columns, standard dimensional tables in Oracle EBS typically store descriptive and control attributes. One can reasonably infer the presence of columns such as a dimension name (e.g., DIMENSION_NAME), a description (DESCRIPTION), an associated object type or forecast type code, and standard WHO columns (CREATION_DATE, CREATED_BY, LAST_UPDATE_DATE, LAST_UPDATED_BY). The FORECAST_DIMENTION_ID is the critical piece of data used to link this master definition to specific forecast fact data elsewhere in the schema.

Common Use Cases and Queries

The primary use case is the setup and maintenance of the dimensional model for marketing forecasts. Administrators would populate this table to define the analytical categories available for forecasting. For reporting and data extraction, common queries involve joining this table to fact tables to retrieve human-readable dimension names for IDs. A fundamental query pattern is retrieving the list of all defined dimensions:

• SELECT forecast_dimention_id, dimension_name, description FROM ams_forecast_dimentions ORDER BY dimension_name;

Another critical use is in analytical SQL that aggregates forecast data, where a join on FORECAST_DIMENTION_ID is essential to group or filter results by a specific dimension, such as region or product category.

Related Objects

The primary documented relationship for this table is its primary key constraint, AMS_FORECAST_DIMENTIONS_PK, on the FORECAST_DIMENTION_ID column. This key is almost certainly referenced by foreign key constraints in related fact or junction tables within the AMS schema. While the excerpt does not list specific foreign key tables, logical related objects would include forecast fact tables (e.g., AMS_FORECASTS or similarly named tables) and potentially a table storing dimension values or hierarchies (e.g., AMS_FORECAST_DIM_VALUES). These related tables would contain a FORECAST_DIMENTION_ID column to establish the link back to this master definition table, enabling the relational integrity of the forecast dimensional model.