Markov analysis is particularly useful when there is regular movement of employees from one position to another.

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Markov analysis is a statistical technique used to analyze transitions between states or events over time. It is particularly useful in predicting employee movements within an organization, especially when there is a regular pattern of movement or transition between positions. By analyzing the historical data of employee movements, Markov analysis can help in forecasting future movements and planning accordingly.

Markov Analysis Is Particularly Useful When There Is Regular Movement