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Use AI to retain top talent

Employee Retention Analytics (ERA) enables companies to retain valuable employees via an analytics dashboard and machine learning model that identifies why employees might leave. 

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Costs

Balance retention with hiring costs

Decision making

Enable nuanced decision-making

SLA excellence

Get detailed insights into employees

Collaborative platform

Identify individual motivation

Proprietary cloud

Get individualized, per-employee insights for HR


ERA, our Employee Retention Analytics solution, leverages workforce data to identify employees at risk of leaving the organization and critical factors that can help retain them. Our AI-driven approach predictively identifies at-risk employees, the factors affecting retention and employee satisfaction, and the quantitative impact of these factors.

Why is Employee Retention Analytics important?

  • Retaining talent is critical to every organization’s success. However, there is often very little insight, especially in advance, into which employees pose the most significant risk of resignation – even if supporting data is readily available.
  • The factors affecting employee retention aren’t always apparent for individuals, and motivations differ from role to role and person to person.
  • Implementing retention changes must be made sustainably by balancing retention solutions with costs associated with hiring and training.
  • Employee Retention Analytics provides ways of drilling into analytics specific to roles and individuals to enable nuanced decision-making by stakeholders.

Who is Employee Retention Analytics for?

Employee Retention Analytics enables all leaders in employee-focussed roles to understand their people better and improve their decision-making. Employee Retention Analytics is primarily targeted at:

Human Directors, Managers and Administrators

Employee Retention Analytics eliminates some uncertainty and improves decision-making associated with policy changes, compensation, changing employment markets and employee sustainability. Employee Retention Analytics also provides data-based evidence for improved planning and strategic initiatives.

Finance Leaders

Compensation decisions are often the first port of call when looking at retention. With Employee Retention Analytics, detailed, individualized compensation can be analyzed against cost. Employee Retention Analytics also highlights alternative, potentially higher-impact factors to retain employees besides compensation.

What does Employee Retention Analytics look like?

  
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Benefits

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Identifies employees at risk of leaving the organization and critical factors to help retain them.

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Uses AI and Machine Learning

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Predictively identifies factors affecting retention and employee satisfaction, and quantitative impact of these factors.


Use AI to predict employees’ resignations 

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