https://github.com/madhuresh2011/hr-analytics-using-power-bi
HR Analytics Dashboard, leveraging the power of Power BI to transform data into actionable insights.
https://github.com/madhuresh2011/hr-analytics-using-power-bi
analysis dashboard data-analytics data-visualization excel-dataset insights power-query powerbi
Last synced: about 1 month ago
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HR Analytics Dashboard, leveraging the power of Power BI to transform data into actionable insights.
- Host: GitHub
- URL: https://github.com/madhuresh2011/hr-analytics-using-power-bi
- Owner: Madhuresh2011
- Created: 2024-07-07T10:13:39.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-25T15:36:04.000Z (4 months ago)
- Last Synced: 2025-02-02T04:12:55.145Z (3 months ago)
- Topics: analysis, dashboard, data-analytics, data-visualization, excel-dataset, insights, power-query, powerbi
- Homepage:
- Size: 922 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# HR-ANALYTICS PROJECT- USING POWER BI
HR Analytics Dashboard, leveraging the power of Power BI to transform data into actionable insights. Here are some key highlights:
## 🔍 Objective: -
#### ! Gather our headcount data and calculate the attrition rate. ...
#### ! Look for signs of a high attrition rate.on the basis on gender, education ,salary salb , job role, year at company. ...
#### ! Check risk factors for employee attrition. ...
#### ! Use additional metrics to track attrition. ...
#### ! Compile an attrition report and prepared a plan of action. ...
## 📈 Key insights :-
#### 📌[Across all 4 SalarySlab, Sum of attritioncount ranged from 5 to 163.]
#### 📌[At 163, Upto 5k had the highest Sum of attritioncount and was 3,160.00% higher than 15k+, which had the lowest Sum of attritioncount at 5.]
#### 📌[Life Sciences accounted for 41.22% of Count of Attrition.]