Gaurav_Kumar_Attrition_Dashboard #23
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Data Exploration - Explore data distributions, identify outliers, and handle missing values using Power BI tools. Data Cleaning - Clean the data via detecting and correcting corrupt or inaccurate records from a record set. Data Import - Load the dataset into Power BI using Power Query Editor. Key Metrics - Develop visuals for key metrics like overall turnover rate, average job satisfaction, and average performance rating. Implement slicers for filtering data based on department, business travel frequency, and education level. Descriptive Analytics - Generate reports showcasing reasons for attrition based on job satisfaction, work-life balance, and relationship satisfaction. Utilize cards and tables to display quantitative information on turnover by department, gender, and marital status. Predictive Analytics with BI - Integrate a predictive model within Power BI to estimate the likelihood of turnover. Visualize predictions using a line chart or a stacked bar chart, showing predicted turnover trends over time. Real-time Integration - Explore Power BI's capabilities for real-time data integration if applicable. Connect to live data sources or schedule periodic updates to keep the dashboard current. Dashboard Layout - Design a user-friendly layout with a clear flow of information. Utilize Power BI's grid system and snap objects to align them neatly.
* Work Life Balance and Engagement Dashboard The objective of this dashboard is to analyze work-life balance and employee engagement metrics to identify areas of improvement and ensure employee well-being and satisfaction.
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Data Exploration - Explore data distributions, identify outliers, and handle missing values using Power BI tools. Data Cleaning - Clean the data via detecting and correcting corrupt or inaccurate records from a record set. Data Import - Load the dataset into Power BI using Power Query Editor. Key Metrics - Develop visuals for key metrics like overall turnover rate, average job satisfaction, and average performance rating. Implement slicers for filtering data based on department, business travel frequency, and education level. Descriptive Analytics - Generate reports showcasing reasons for attrition based on job satisfaction, work-life balance, and relationship satisfaction. Utilize cards and tables to display quantitative information on turnover by department, gender, and marital status. Predictive Analytics with BI - Integrate a predictive model within Power BI to estimate the likelihood of turnover. Visualize predictions using a line chart or a stacked bar chart, showing predicted turnover trends over time.
Real-time Integration - Explore Power BI's capabilities for real-time data integration if applicable.
Connect to live data sources or schedule periodic updates to keep the dashboard current. Dashboard Layout - Design a user-friendly layout with a clear flow of information. Utilize Power BI's grid system and snap objects to align them neatly.