Explanation/Reference:
Explanation:
11.3.2.3 Risk Data Quality Assessment
Risk data quality assessment is a technique to evaluate the degree to which the data about risks is useful for risk management. It involves examining the degree to which the risk is understood and the accuracy, quality, reliability, and integrity of the data about the risk.
The use of low-quality risk data may lead to a qualitative risk analysis of little use to the project. If data quality is unacceptable, it may be necessary to gather better data. Often, the collection of information about risks is diffcult, and consumes more time and resources than originally planned.
Process: 11.3 Perform Qualitative Risk Analysis
Definition: The process of prioritizing risks for further analysis or action by assessing and combining their probability of occurrence and impact.
Key Benefit: The key benefit of this process is that it enables project managers to reduce the level of uncertainty and to focus on high-priority risks.
Inputs
1. Risk management plan
2. Scope baseline
3. Risk register
4. Enterprise environmental factors
5. Organizational process assets
Tools & Techniques
1. Risk probability and impact assessment
2. Probability and impact matrix
3. Risk data quality assessment
4. Risk categorization
5. Risk urgency assessment
6. Expert judgment
Outputs
1. Project documents updates