Results for “cs_ctr_estimated_readings”

AI-generated from documented ETRM metadata — verify critical details on the linked pages.

Overview

CS_CTR_ESTIMATED_READINGS is a Service (CS) module table within the Oracle E-Business Suite 12.1.1 and 12.2.2 environments that stores estimated meter readings derived from a defined estimation method. The table acts as a historical and analytical repository for counter readings that were not captured through an actual, validated meter read, but instead were projected based on an algorithm configured in CS_CTR_ESTIMATION_METHODS. In the context of the Counter Readings (CTR) feature set used for service contracts, warranty tracking, and usage-based billing, this table provides the "estimated" counterpart to actual reading data, enabling continuity of usage history when field readings are missing, delayed, or unavailable.

From a data modeling perspective, the metadata indicates a heuristic Data Vault classification of "satellite-leaning." This suggests the table behaves primarily as a descriptive satellite surrounding a business hub (the counter) and linked to a reference dimension (the estimation method). The single documented foreign key pointing to CS_CTR_ESTIMATION_METHODS reinforces this interpretation: the table holds descriptive, time-variant measurements about a counter, qualified by the estimation logic used.

Key Information Stored

The table contains 32 documented columns. Its surrogate primary key, enforced by the CS_CTR_ESTIMATED_READINGS_PK constraint, is ESTIMATED_READING_ID. Key business columns include:

• COUNTER_ID — Identifies the counter to which the estimated reading belongs; a primary business-key candidate for joining to counter definition tables.
• ESTIMATION_ID — Foreign key to CS_CTR_ESTIMATION_METHODS, indicating which estimation algorithm produced the reading.
• VALUE_TIMESTAMP — The effective date/time of the estimated reading value.
• ESTIMATED_METER_READING — The projected meter or counter value itself.
• ESTIMATED_USAGE — The computed consumption or usage derived from the estimated reading.
• NUM_OF_READINGS — The count of readings contributing to the estimate.
• PERIOD_START_DATE / PERIOD_END_DATE — The estimation window boundaries.
• AVG_CALCULATION_START_DATE — The date from which averaging logic was applied.
• OBJECT_VERSION_NUMBER — Optimistic locking column used by the ORM layer.
• LAST_UPDATE_DATE, LAST_UPDATED_BY, CREATION_DATE, CREATED_BY, LAST_UPDATE_LOGIN — Standard EBS WHO columns for audit and change tracking.
• ATTRIBUTE_CATEGORY and ATTRIBUTE1–15 — The standard EBS descriptive flexfield (DFF) columns for extensibility.

Common Use Cases and Queries

Typical scenarios include usage-based billing reconciliation, trend reporting where gaps exist in actual readings, and audit trails validating how a billed quantity was derived. A frequent query pattern joins estimated readings to their estimation method:

• Reporting estimated usage per counter for a billing period: filter by PERIOD_START_DATE and PERIOD_END_DATE and aggregate ESTIMATED_USAGE.
• Identifying counters relying disproportionately on estimates: count rows grouped by COUNTER_ID.
• Joining to actual reading tables via COUNTER_ID and VALUE_TIMESTAMP to compare estimated versus actual values.
• Auditing DFF usage via ATTRIBUTE_CATEGORY to ensure classification consistency.
• Reconstructing history chronologically using VALUE_TIMESTAMP ordered per COUNTER_ID.

Related Objects

The most significant related objects, derived from documented relationships and Service module conventions, include:

• CS_CTR_ESTIMATION_METHODS — Joined via ESTIMATED_READINGS.ESTIMATION_ID = ESTIMATION_METHODS.ESTIMATION_ID; defines the algorithm.
• Counter definition and reading tables — Joined via COUNTER_ID to obtain counter metadata and actual readings.
• CS_CTR_ESTIMATED_READINGS_PK — The primary key constraint enforcing ESTIMATED_READING_ID uniqueness.
• Service Contracts and billing interfaces — Consume ESTIMATED_USAGE for invoicing line generation.
• Oracle EBS WHO audit infrastructure — Populated automatically by standard DML triggers.