Search Results bix_interactions




Overview
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Overview

The BIX_INTERACTIONS table is a core data repository within the Oracle E-Business Suite module Interaction Center Intelligence (BIX). It serves as the primary storage table for all interaction data sourced from the Oracle Universal Work Queue (UWQ). In the context of Oracle EBS 12.1.1 and 12.2.2, this table is fundamental to the business intelligence and reporting capabilities for customer interaction centers. It enables the analysis of agent performance, interaction volume, channel utilization, and customer service metrics by consolidating raw interaction events from the operational UWQ system into a structured data warehouse environment for analytical processing.

Key Information Stored

While the provided metadata does not list specific column details, the table's primary key is documented as INTERACTIONS_ID, which uniquely identifies each interaction record. Based on its role as a repository for UWQ data, typical columns would include attributes to describe the interaction's context, timing, and outcome. This commonly encompasses data points such as interaction start and end timestamps, interaction type (e.g., inbound call, email, chat), channel identifier, agent ID, customer ID, service request or order number references, queue information, duration, wrap-up code, and outcome status. The table is designed to hold a historical record of all customer-agent engagements processed through the Interaction Center framework.

Common Use Cases and Queries

The primary use case for the BIX_INTERACTIONS table is generating performance and operational reports for contact center management. Analysts query this table to calculate key metrics like average handle time, service level agreement (SLA) compliance, first-contact resolution rates, and interaction volumes by period, queue, or agent. A typical reporting query might aggregate interaction counts and average duration by agent and day. For example:

SELECT TRUNC(start_date_time) AS interaction_date, agent_id, COUNT(*) AS total_interactions, AVG(duration) AS avg_handle_time FROM bix_interactions WHERE start_date_time >= SYSDATE - 30 GROUP BY TRUNC(start_date_time), agent_id ORDER BY 1, 2;

Another common pattern involves joining to related dimension tables (like resource or customer tables) to enrich reports with agent names or customer segments. The table is also critical for trend analysis, feeding data into OLAP cubes or dashboards within the BIX framework.

Related Objects

The documented structural metadata indicates a direct relationship with one other table via a foreign key constraint. The related objects are:

  • BIX_INTERACTIONS_INF: This table references BIX_INTERACTIONS through the foreign key column INTERACTIONS_ID, which points to the primary key of the same name in BIX_INTERACTIONS (BIX_INTERACTIONS.INTERACTIONS_ID). This suggests BIX_INTERACTIONS_INF likely holds additional informational details or facts that are child records to the main interaction header stored in BIX_INTERACTIONS. A typical join would be: SELECT * FROM bix_interactions i, bix_interactions_inf inf WHERE i.interactions_id = inf.interactions_id;