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Atliq HR Analytics Dashboard - Power BI

Explore the HR Analytics Dashboard which effortlessly track employee leave and remote work trends, make informed data-driven decisions, and elevate your HR strategy.

Link to the GitHub repository

Link to the GitHub repository

Category

Data Analytics

Timeline

Mar 2023

Discover insights into employee leave and remote work trends with the Atliq HR Analytics Dashboard. This Power BI project provides an intuitive interface to monitor employee absence and work-from-home activities within your organization. By harnessing the data from an employee CSV file, this dashboard offers a comprehensive view of leave patterns since an employee's start date.


Features:


  • Data-Driven Insights: Leverage Data Analysis Expressions (DAX) to calculate and aggregate data, empowering HR professionals with valuable insights.

  • User-Friendly Interface: Intuitive design enables easy data filtering by employee name, department, leave/work-from-home type, and date range.

  • Visualized Data: Charts and tables provide a clear distribution of leave/work-from-home types across departments and employees.

  • Individual Tracking: Monitor leave/work-from-home frequency for each employee, aiding in performance assessments.

  • Departmental Averages: Gauge average leave/work-from-home occurrences per department for informed decision-making.


Functionality:


  1. Data Integration: Import employee CSV file containing essential information like employee ID, name, department, and relevant dates.

  2. Insightful Visuals: Gain actionable insights through visualizations showcasing trends, patterns, and departmental variations.

  3. Filtering Options: Easily narrow down data using filters for personalized analysis.

  4. Scalable Design: Modify and expand data sources as needed while maintaining seamless functionality.


Benefits:


The Atliq HR Analytics Dashboard empowers HR teams to make informed decisions that enhance employee satisfaction and retention. By tracking leave and remote work trends, the dashboard aids in identifying patterns, resolving issues, and optimizing organizational performance.

Elevate your HR strategy with data-backed insights. Explore the Atliq HR Analytics Dashboard today.

Discover insights into employee leave and remote work trends with the Atliq HR Analytics Dashboard. This Power BI project provides an intuitive interface to monitor employee absence and work-from-home activities within your organization. By harnessing the data from an employee CSV file, this dashboard offers a comprehensive view of leave patterns since an employee's start date.


Features:


  • Data-Driven Insights: Leverage Data Analysis Expressions (DAX) to calculate and aggregate data, empowering HR professionals with valuable insights.

  • User-Friendly Interface: Intuitive design enables easy data filtering by employee name, department, leave/work-from-home type, and date range.

  • Visualized Data: Charts and tables provide a clear distribution of leave/work-from-home types across departments and employees.

  • Individual Tracking: Monitor leave/work-from-home frequency for each employee, aiding in performance assessments.

  • Departmental Averages: Gauge average leave/work-from-home occurrences per department for informed decision-making.


Functionality:


  1. Data Integration: Import employee CSV file containing essential information like employee ID, name, department, and relevant dates.

  2. Insightful Visuals: Gain actionable insights through visualizations showcasing trends, patterns, and departmental variations.

  3. Filtering Options: Easily narrow down data using filters for personalized analysis.

  4. Scalable Design: Modify and expand data sources as needed while maintaining seamless functionality.


Benefits:


The Atliq HR Analytics Dashboard empowers HR teams to make informed decisions that enhance employee satisfaction and retention. By tracking leave and remote work trends, the dashboard aids in identifying patterns, resolving issues, and optimizing organizational performance.

Elevate your HR strategy with data-backed insights. Explore the Atliq HR Analytics Dashboard today.

Discover insights into employee leave and remote work trends with the Atliq HR Analytics Dashboard. This Power BI project provides an intuitive interface to monitor employee absence and work-from-home activities within your organization. By harnessing the data from an employee CSV file, this dashboard offers a comprehensive view of leave patterns since an employee's start date.


Features:


  • Data-Driven Insights: Leverage Data Analysis Expressions (DAX) to calculate and aggregate data, empowering HR professionals with valuable insights.

  • User-Friendly Interface: Intuitive design enables easy data filtering by employee name, department, leave/work-from-home type, and date range.

  • Visualized Data: Charts and tables provide a clear distribution of leave/work-from-home types across departments and employees.

  • Individual Tracking: Monitor leave/work-from-home frequency for each employee, aiding in performance assessments.

  • Departmental Averages: Gauge average leave/work-from-home occurrences per department for informed decision-making.


Functionality:


  1. Data Integration: Import employee CSV file containing essential information like employee ID, name, department, and relevant dates.

  2. Insightful Visuals: Gain actionable insights through visualizations showcasing trends, patterns, and departmental variations.

  3. Filtering Options: Easily narrow down data using filters for personalized analysis.

  4. Scalable Design: Modify and expand data sources as needed while maintaining seamless functionality.


Benefits:


The Atliq HR Analytics Dashboard empowers HR teams to make informed decisions that enhance employee satisfaction and retention. By tracking leave and remote work trends, the dashboard aids in identifying patterns, resolving issues, and optimizing organizational performance.

Elevate your HR strategy with data-backed insights. Explore the Atliq HR Analytics Dashboard today.

Purna Chandar 2023