Data attrition refers to refers to the interruption of already collected data by removing some data. Data attrition can also refer to the destruction of data.
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Data attrition refers to the loss or reduction of data over time due to various factors such as storage issues, data corruption, or unintentional deletion. It can lead to gaps in information, decreased data quality, and potential negative impacts on decision-making processes within an organization. Proper data management and backup strategies are essential to prevent data attrition and ensure data integrity.
The opposite of natural attrition would be artificial or forced attrition, where employees are intentionally let go rather than leaving naturally.
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Attrition occurs when employees leave an organization, either voluntarily or involuntarily, leading to a decrease in the workforce. It can happen for various reasons such as job dissatisfaction, lack of growth opportunities, or organizational changes. High attrition rates can impact a company's productivity and morale.
Attraction-selection-attrition processes are most evident in the workplace, where individuals are attracted to organizations whose values and culture align with their own. Once hired, individuals who do not fit in or align with the organization's values are more likely to leave (attrition), allowing for a more homogenous workforce to develop over time.
attrition, abrasion, hydraulic action, corrosion and erosion.