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Anonymous
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1 year ago
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HR - Predictive / Forecast Analysis

Hi,   kindly suggest what can be shown in Predictive / Forecast in HR Analytics Dashboards,
  • FarhanJeelani's avatar
    1 year ago

    Hi Anonymous ,

    In HR Analytics Dashboards, predictive and forecast analysis can be incredibly valuable for HR teams to anticipate trends, improve decision-making, and proactively manage talent. Here are some key areas to focus on for predictive and forecast analysis in HR:

    Employee Turnover Forecast:

    Predicted Employee Attrition: Use historical data to forecast the likelihood of employee turnover over a given period.
    Predictive Factors: Analyze patterns in employee demographics, satisfaction surveys, tenure, and performance to predict which employees are at a higher risk of leaving.


    Hiring Forecast:

    Recruitment Demand: Predict the future hiring needs based on trends like employee turnover, business growth, and departmental expansion.
    Time-to-Hire Trends: Forecast the time it will take to fill open positions based on historical data and hiring processes.


    Employee Performance Predictions:

    Employee Success Prediction: Use historical data on performance evaluations, training, and development programs to predict future high performers.
    Skill Gaps: Forecast upcoming skill gaps based on business trends and current workforce data, allowing HR to proactively address training or recruitment needs.


    Compensation and Benefits Analysis:

    Salary Growth Prediction: Forecast salary trends for different employee categories based on inflation, market data, and past salary increases.
    Cost of Benefits: Predict future benefits costs for employees, such as healthcare and retirement plans, based on workforce demographics and historical data.


    Workforce Demographics and Diversity:

    Diversity Forecast: Predict diversity and inclusion trends within the organization, such as gender, race, age, and other diversity metrics.
    Succession Planning: Predict future leadership gaps and talent needs for succession planning based on employee age, tenure, and career trajectories.


    Absenteeism Forecast:

    Absenteeism Rates: Predict patterns of absenteeism based on historical trends, employee health data, and seasonal factors.
    Impact on Productivity: Use absenteeism trends to predict potential impacts on team productivity and plan resource allocation accordingly.


    Training and Development Needs:

    Training Needs Forecast: Predict future training requirements for the workforce based on skill trends, technological advancements, and organizational changes.
    Training Effectiveness: Analyze the predicted impact of training programs on employee performance and retention.

     

    Workforce Productivity Forecast:

    Productivity Trends: Forecast changes in workforce productivity based on factors like employee engagement, work culture, and external market conditions.
    Impact of Remote Work: Predict how trends like remote work, flexible hours, and hybrid models will impact overall productivity.
    These insights can help HR departments make data-driven decisions, anticipate challenges, and optimize their workforce planning strategies.

     

    Please mark this post as solution if it helps you. Appreciate Kudos.