Results for “ozf_act_metrics_all”

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

Overview

OZF_ACT_METRICS_ALL is a Trade Management (OZF) transactional table within Oracle EBS 12.1.1 and 12.2.2 that stores the calculated and staged values for budget or quota allocation metrics. It acts as the central repository where activity-level metrics — forecasted, committed, and actual amounts — are recorded in both transaction and functional currencies, and subsequently consumed by allocation, accrual, and settlement logic in Trade Management. Each row represents a single activity metric instance, keyed by ACTIVITY_METRIC_ID, and links that metric to the fund, application, scenario, and hierarchy context in which it was computed.

The ETRM metadata classifies this object heuristically as satellite-leaning under a Data Vault interpretation. In practice, the table behaves as a descriptive satellite attached to the business key ACTIVITY_METRIC_ID, carrying measured values and calculated attributes that change over time as refresh, rollup, and recalculation processes execute. It also exhibits link characteristics through its foreign-key references to funds, currencies, applications, metrics, and security groups.

Key Information Stored

The table contains 82 documented columns. The most operationally significant are listed below.

Descriptive and extensible columns include DESCRIPTION, ACT_METRIC_DATE, FROM_DATE, TO_DATE, START_PERIOD_NAME, END_PERIOD_NAME, and the fifteen ATTRIBUTE columns (ATTRIBUTE_CATEGORY through ATTRIBUTE15) for client extensions. The standard WHO columns (CREATION_DATE, CREATED_BY, LAST_UPDATE_DATE, LAST_UPDATED_BY, LAST_UPDATE_LOGIN) and OBJECT_VERSION_NUMBER support audit and optimistic locking.

Common Use Cases and Queries

Typical scenarios include budget-versus-actual reporting, quota allocation validation, accrual reconciliation, and diagnosis of stale metrics. A common pattern joins the table to its fund and metric parents, filtering by org and currency, for example:

SELECT m.activity_metric_id, m.budget_id, m.metric_id,
       m.trans_actual_value, m.func_actual_value, m.status_code
FROM   ozf_act_metrics_all m
WHERE  m.org_id = :p_org_id
AND    m.last_calculated_date >= :p_from_date;

Analysts frequently isolate rows needing recalculation using DIRTY_FLAG or a large DIFFERENCE_SINCE_LAST_CALC, and use DAYS_SINCE_LAST_REFRESH to identify stale aggregates. Rollup and hierarchy analysis leverages HIERARCHY_ID, START_NODE, FROM_LEVEL, TO_LEVEL, and the SUMMARIZE_TO_METRIC / ROLLUP_TO_METRIC columns. Because AMOUNT1–AMOUNT3 and PERCENT1–PERCENT3 carry flexible measure slots, reports often pivot on these when custom metric configurations are in use.

Related Objects

  • OZF_ACT_METRIC_FACTS_ALL — child table; joins on ACTIVITY_METRIC_ID, storing fact-level detail for each metric.
  • OZF_ACT_METRIC_FORMULAS — child table; joins on ACTIVITY_METRIC_ID, holding formula definitions applied to the metric.
  • OZF_FUNDS_ALL_B — parent; joined via ACT_METRIC_USED_BY_ID to resolve the consuming fund.
  • AMS_METRICS_ALL_B — parent; joined via METRIC_ID for metric master definitions.
  • FND_CURRENCIES — joined via TRANSACTION_CURRENCY_CODE and FUNCTIONAL_CURRENCY_CODE.
  • FND_APPLICATION — joined via APPLICATION_ID for application context.
  • FND_SECURITY_GROUPS — joined via SECURITY_GROUP_ID for row-level security enforcement.

Together these relationships confirm the table's central role in the Trade Management metric calculation and allocation chain.