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Attrition Modelling

With the advent of Artificial Intelligence and its potential for disruption across the organization value chain, decision-makers in HR can leverage the power of data to predict possibilities within their function and identify best fit candidates for a job, manage employee attrition and drive important hiring decisions.

Organizations relying on data are better poised to mitigate attrition risks tactfully by leveraging advanced analytics. Our models help recruiters and hiring consultants understand contributing factors and be better prepared to implement corrective measures.

Our Approach

Our algorithms identify factors that lead to attrition based on historic evidence and predict possibilities of attrition in the future. Employees are segmented and ranked based on their tendencies into Low, Medium, and High, enabling HR teams to chart precise strategies based on this segmentation.
Techniques used

Classification Trees

Cluster Analysis

Possible outcomes with Attrition Modelling

Skill Gap Mapping

Leverage insights to map employees whose aspirations are unmet or have skill gaps with devise the right training and engagement programs.

Reduced Employee Turnover Costs

Use data to understand and invest in the right expertise for teams and skill/re-skill employees to increase retention and reduce turnover costs.

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Employee Engagement

HR professionals are evolving their approach to employee engagement with an aim of created motivated, skilled workforce to fuel organizational growth. Decision-makers need...

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