Search Results bil_do_ld_oppty_prd_dly_pk

Overview

The table BIL_DO_LD_OPPTY_PRD_DLY is a data object within the Oracle E-Business Suite (EBS) Sales Intelligence (BIL) module. It functions as a staging or operational data store for daily aggregated opportunity and pipeline data, specifically for load processing. Its primary role is to support sales analytics and reporting by consolidating transactional data from the CRM and Order Management modules into a structured format optimized for business intelligence queries. The "DO_LD" in its name typically denotes a "Data Object - Load" table, indicating it is part of an ETL (Extract, Transform, Load) or data warehousing flow within the BIL architecture. This table is critical for generating timely sales performance metrics and forecasts.

Key Information Stored

Based on the provided ETRM metadata, the table is designed to store aggregated data keyed by specific dimensions. The documented primary key columns are fundamental to understanding its data model. The COLLECTION_DATE column is a critical temporal dimension, indicating the date for which the opportunity data snapshot was collected or aggregated. The SALES_GROUP_ID column serves as a foreign key to identify the sales team or organizational hierarchy responsible for the opportunity. The INTEREST_TYPE_ID column categorizes the type of customer interest or opportunity stage. While other columns are not listed in the excerpt, typical data in such a table would include aggregated monetary amounts (e.g., revenue, pipeline amount), counts of opportunities, and other derived metrics for the given combination of collection date, sales group, and interest type.

Common Use Cases and Queries

This table is primarily accessed for daily sales pipeline and performance reporting. Analysts use it to track changes in the opportunity funnel over time. A common query pattern involves filtering by a specific COLLECTION_DATE range to analyze trends. For example, to retrieve the total pipeline amount by sales group for the last seven days, a query would join this table to dimension tables for sales group and interest type, summing the relevant amount column. Another key use case is the calculation of key performance indicators (KPIs) like pipeline velocity or conversion rates by comparing aggregated data across different collection dates. The table's daily granularity supports both snapshot reporting and period-over-period comparative analysis.

Related Objects

The documented primary key, BIL_DO_LD_OPPTY_PRD_DLY_PK, enforces uniqueness on the combination of COLLECTION_DATE, SALES_GROUP_ID, and INTEREST_TYPE_ID. This structure implies relationships with other dimension tables in the BIL schema. The SALES_GROUP_ID column is almost certainly a foreign key referencing a sales organization or hierarchy dimension table, such as a table named BIL_SALES_GROUP_D or similar. The INTEREST_TYPE_ID column would similarly reference a lookup table for opportunity interest types or stages. This table is likely populated by a concurrent program or data load process from transactional base tables and may itself serve as a source for further aggregated summary tables or materialized views used in end-user dashboards within Oracle Sales Intelligence.