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Anonymous
Not applicable

HR - Predictive / Forecast Analysis

Hi,

 

kindly suggest what can be shown in Predictive / Forecast in HR Analytics Dashboards,

1 ACCEPTED SOLUTION
FarhanJeelani
Super User
Super User

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.

View solution in original post

6 REPLIES 6
v-pnaroju-msft
Community Support
Community Support

Hi @Anonymous,

We are following up to see if your query has been resolved. Should you have identified a solution, we kindly request you to share it with the community to assist others facing similar issues.

If our response was helpful, please mark it as the accepted solution and provide kudos, as this helps the broader community.

Thank you.

v-pnaroju-msft
Community Support
Community Support

Hi @Anonymous,

We wanted to check in regarding your query, as we have not heard back from you. If you have resolved the issue, sharing the solution with the community would be greatly appreciated and could help others encountering similar challenges.

If you found our response useful, kindly mark it as the accepted solution and provide kudos to guide other members.

Thank you.

v-pnaroju-msft
Community Support
Community Support

Hi @Anonymous,

We have not received a response from you regarding the query and were following up to check if you have found a resolution. If you have identified a solution, we kindly request you to share it with the community, as it may be helpful to others facing a similar issue.

If you find the response helpful, please mark it as the accepted solution and provide kudos, as this will help other members with similar queries.

Thank you.

v-pnaroju-msft
Community Support
Community Support

Thankyou, @FarhanJeelani, for your response.

 

Hi @Anonymous,

We appreciate your inquiry submitted through the Microsoft Fabric Community Forum.

Please find below a comprehensive approach for implementing predictive analytics within Power BI dashboards:

  1. Key focus areas for forecasting include employee turnover, hiring demand, absenteeism, salary trends, performance predictions, skill gaps, and diversity.
  2. Utilize the built-in line chart forecasting and key influencers visuals to identify trends and causal relationships.
  3. With a Power BI Premium license, you can employ AutoML for attrition prediction, salary regression, and other analyses.
  4. For the dashboard, create pages such as "Attrition Risk," "Hiring Demand," and "Future Skills Gaps," incorporating visuals like decomposition trees, forecast line charts, and influencer analysis.

Should you find our response helpful, we kindly request you to mark it as the accepted solution and provide kudos. This will support other community members who may have similar queries.

Thank you.

FarhanJeelani
Super User
Super User

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.

Anonymous
Not applicable

Thank you for suggestion, 

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