Search Results lead_rank_id

Overview

The table BIL_DO_LD_OPPTY_SUM is a core data warehouse object within the Oracle E-Business Suite (EBS) Sales Intelligence (BIL) module. It functions as a summary fact table designed to aggregate and store key performance metrics related to the conversion of marketing leads into sales opportunities over defined time periods. Its primary role is to support analytical reporting and performance dashboards by providing a consolidated, period-based view of the lead-to-opportunity pipeline. This enables sales and marketing managers to analyze conversion effectiveness by various dimensions such as sales groups, lead quality, and campaign sources. The "Data Out" (DO) designation typically indicates it is a target table populated by ETL processes from transactional sources like Oracle Trade Management and Oracle CRM.

Key Information Stored

The table stores aggregated metrics, likely including counts, amounts, and conversion rates, sliced by several critical dimensions defined in its primary key. Based on the provided metadata, the primary dimensions for summarization are:

• PERIOD_NAME: The time period (e.g., month, quarter) for which the metrics are aggregated.
• SALES_GROUP_ID: Identifies the sales team or organization responsible for the leads/opportunities.
• LEAD_RANK_ID: A direct reference to the lead quality or rating, central to the user's search context. This dimension allows analysis of how lead scoring correlates with eventual opportunity creation and value.
• SALES_CHANNEL_CODE: The channel through which the lead was generated or managed (e.g., Direct, Partner).
• VEHICLE_RESPONSE_CODE: Typically refers to the specific marketing vehicle or campaign element that prompted the lead.
• SOURCE_PROMOTION_ID: Links the aggregated data to the specific marketing campaign or promotion.

While specific measure columns are not listed, typical summary tables contain fields like LEAD_COUNT, OPPORTUNITY_COUNT, CONVERSION_RATE, and estimated OPPORTUNITY_AMOUNT.

Common Use Cases and Queries

This table is predominantly used for generating standardized operational reports and ad-hoc analyses. A common use case is analyzing the quality of leads by evaluating the conversion rate from lead to opportunity segmented by lead rank. For example, a marketing analyst might execute a query to assess the return on investment for different lead sources by joining this summary table to campaign dimension tables. A sample SQL pattern to analyze conversion by lead rank for a given period would be:

SELECT period_name, lead_rank_id, SUM(lead_count) total_leads, SUM(opportunity_count) converted_oppties, (SUM(opportunity_count)/SUM(lead_count))*100 conversion_rate FROM bil_do_ld_oppty_sum WHERE period_name = 'JAN-2024' GROUP BY period_name, lead_rank_id ORDER BY lead_rank_id;

This supports critical business processes like marketing campaign performance tracking, sales pipeline forecasting, and lead qualification process refinement.

Related Objects

BIL_DO_LD_OPPTY_SUM is part of a larger data mart or star schema within the BIL module. It is related to various dimension tables that provide descriptive attributes for its foreign keys. Key related objects likely include:

• Dimension tables for primary key columns: Tables such as JTF_RS_GROUPS_B (for SALES_GROUP_ID), AS_LEAD_RANKS_B (for LEAD_RANK_ID), and AS_SOURCE_PROMOTIONS (for SOURCE_PROMOTION_ID).
• ETL Processes: It is populated by concurrent programs or PL/SQL packages from transactional staging tables (often prefixed with "BIL_DI_" for Data In).
• Reporting Views: Pre-built Oracle Business Intelligence (OBIEE) or Discoverer views may exist on top of this table to simplify reporting.
• Primary Key Constraint: The object BIL_DO_LD_OPPTY_SUM_PK enforces uniqueness on the combination of the six dimension columns listed.