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Leveraging Data Analysis for HR: A Comprehensive Guide to Promoting Employee Well-being

Updated: Jan 30


data analysis


Introduction:


In today's competitive business landscape, companies are increasingly recognizing the importance of employee well-being in fostering a healthy and productive work environment. Human Resources (HR) departments play a crucial role in ensuring the welfare of employees, and data analysis has become an invaluable tool in making informed decisions. In this blog post, we will explore a hypothetical HR request to the Data Analysis Team, focusing on promoting healthy habits and reducing absenteeism through data-driven initiatives.



Identifying Healthy Individuals for the Healthy Bonus Program:

The HR team has allocated a budget of $1000 for a Healthy Bonus Program, and they are keen on targeting individuals with a record of good health and low absenteeism. Leveraging SQL queries, the Data Analysis Team can sift through employee records to identify those who meet the criteria. For instance:


SELECT EmployeeID, Name, HealthScore, AbsenteeismDays

FROM EmployeeData

WHERE HealthScore >= 80 AND AbsenteeismDays < 5;


This query selects employees with a health score of 80 or above and absenteeism days less than 5. The resulting list can be used to distribute the Healthy Bonus Program.


Calculating Compensation for Non-Smokers:

To encourage a healthy lifestyle, the HR team wants to allocate a portion of the insurance budget specifically for non-smokers. The Data Analysis Team can use SQL to calculate the wage increase or annual compensation for non-smokers based on the allocated budget:


UPDATE EmployeeData

SET AnnualCompensation = AnnualCompensation + (983221 / COUNT(DISTINCT EmployeeID))

WHERE SmokingStatus = 'Non-Smoker';


This query updates the annual compensation for non-smokers proportionally based on the allocated budget.


Creating a Dashboard for Absenteeism Analysis:

HR also wants a visual representation of absenteeism patterns using Power BI. The Data Analysis Team can develop SQL queries to extract relevant data and then utilize Power BI to create a dashboard based on an approved wireframe.


SELECT Date, EmployeeID, AbsenteeismReason

FROM AbsenteeismData;

This SQL query retrieves data related to absenteeism, including dates, employee IDs, and reasons. The extracted data can then be imported into Power BI for visualization.



Conclusion:


Incorporating data analysis into HR processes empowers organizations to make informed decisions that positively impact employee well-being. The examples provided demonstrate how SQL queries can be used to identify healthy individuals, allocate compensation based on specific criteria, and create insightful visualizations for better understanding absenteeism patterns. By embracing a data-driven approach, HR teams can foster a culture of well-being, ultimately contributing to a healthier and more productive workplace.


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