Managing Risk in Primavera Risk Analysis Rel. 8.6 Ed 1 — Lesson 1: Risk Analysis Foundations, Schedule Import, Quality Checks, and Modeling

Technical Scope

• quantitative risk analysis concepts, probability, distributions, and confidence
• schedule import from Primavera P6, calendars, logic, resources, and mappings
• schedule-quality checks, open ends, constraints, lags, and critical-path validity
• analysis assumptions, baseline, data ownership, and model-readiness record

Instructor Demonstration

Demonstrate quantitative risk analysis concepts, probability, distributions, and confidence within a capital project schedule analyzed for uncertainty and discrete risks to establish confidence dates, cost contingencies, mitigation priorities, and governance decisions, then capture the exact configuration, command, transaction, report, trace, or code evidence that proves the expected result.

Applied Workshop

Implement a controlled workshop covering schedule import from Primavera P6, calendars, logic, resources, and mappings and schedule-quality checks, open ends, constraints, lags, and critical-path validity, then test a failure, exception, or business-control scenario involving analysis assumptions, baseline, data ownership, and model-readiness record.

1. Confirm the environment, identities, data, dependencies, controls, and expected result.
2. Complete the product-specific configuration, development, analysis, or business-process task.
3. Capture commands, configuration, output, logs, transactions, reports, or test evidence.
4. Explain the operational, security, performance, data-quality, or business trade-off.

Validation Standard

The Risk Analysis Foundations, Schedule Import, Quality Checks, and Modeling result must be reproducible, traceable to approved inputs, and consistent with expected Oracle product or business-process behavior.

• The intended target, scope, and ownership are verified.
• The result is supported by reproducible evidence and expected-value checks.
• Security, performance, reliability, data quality, and support impact are reviewed.
• Unexpected behavior is investigated before acceptance or release.

Failure Analysis

Diagnose issues in quantitative risk analysis concepts, probability, distributions, and confidence, schedule import from Primavera P6, calendars, logic, resources, and mappings, schedule-quality checks, open ends, constraints, lags, and critical-path validity, or analysis assumptions, baseline, data ownership, and model-readiness record without making an unverified production change.

Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.

Practical Outcome

Complete a validated implementation or analysis for Risk Analysis Foundations, Schedule Import, Quality Checks, and Modeling and defend the result with documented evidence.