Data quality and quantity...

Data quality and quantity
They have important significance. So the information you get
quality, accurate, accurate on the object
and collecting enough information in the management process,
as well as the importance of risk management
it is.
Quality analysis means that the sources of risks,
Detection of causes of occurrence can occur
identifying new risks, emerging risk
stages, decisions taken on risk, work done
clarification and other issues
the formation of the idea is understood.
Only during the quality analysis threatening the project
identification of all types of risks, accepted
the results of the decisions, the occurrence of risky events
it is also possible to detect losses
is not. Quality analysis is essential for quantitative analysis
are preliminary data.
Quantitative analysis after risk analysis
as well as the risks that may arise as a result of the analysis
risk assumptions, losses,
the ratio between profit, loss and profit factors
quantification.
It should be noted that quantitative factors are investigated
and the result is not accepted
The adoption of the risk is a major disaster, economically
can lead to bankruptcy
The risk management scheme is as follows
reflected:

Here:

1. Data collection;
2. Quality risk analysis;
3. quantitative analysis of risks;
4. Assessing risk appetite;
5. Selecting the risk reduction option;
6. Risk reduction methods;
7. Probability and choice of risk increase;
8. Transmission of results;
9. Determination of expediency of risk increase;
10. The best option for increasing risk
    selection;
11. Selecting a risk reduction option;
12. Implementation of the project;
13. Refusal from the project.
    Quantitative analysis is a process that is separate
    risks and express the project decision in full
    This is to determine the price
    events that can occur as a result of risks at the stage
    then limited to precise results,
    that is, the closer the reality to the reality.
    At the same time quantitative analysis is the direct risk acceptance
    or the possibility of refusal
    to identify.
    

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    Posted from my blog with SteemPress : https://alfren.000webhostapp.com/2018/09/data-quality-and-quantity

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