Skip to content

Department-Wise Performance Analysis.md

Latest commit

 

History

History
132 lines (89 loc) · 5.84 KB

Department-Wise Performance Analysis.md

File metadata and controls

132 lines (89 loc) · 5.84 KB
Raw

Department-Wise Performance Analysis

Report Date: April 8, 2025 Last Revised: November 10, 2025

Project Code: 10281 Document Code: CDS_Project_2_INX_Future_Emp_Data_V1.6 Prepared for: INX Future Inc.

Executive Summary

This report analyzes department-wise employee performance at INX Future Inc. using a dataset of 1,200 employees across 28 attributes. The analysis identifies departmental strengths, performance gaps, and specific interventions to address declining service delivery and client satisfaction. Findings show disparities in performance ratings, satisfaction levels, and retention across departments, with targeted recommendations to improve organizational outcomes.

Table of Contents

1. Methodology

Data Source: Employee performance data from INX Future Inc., including demographic, job-related, satisfaction, and performance metrics.

Tools: Python (Pandas, Seaborn, SciPy), statistical tests (Shapiro-Wilk, Spearman), and visualization techniques (heatmaps, bar charts).

Focus Areas:

  • Performance distribution by department
  • Correlation between satisfaction, tenure, and performance
  • Attrition trends and salary hike impacts

2. Key Findings: Department-Wise Performance

2.1 Performance Rating Distribution

Department % Rating 2 (Good) % Rating 3 (Excellent) % Rating 4 (Outstanding) Total Employees
Development 3.6% 84.2% 12.2% 361
Data Science 5.0% 85.0% 10.0% 20
Research & Development (R&D) 19.8% 68.2% 11.9% 343
Sales 23.3% 67.3% 9.4% 373
Finance 30.6% 61.2% 8.2% 49
Human Resources (HR) 18.5% 70.4% 11.1% 54

Analysis:

  • Development and Data Science departments show 84-85% of employees rated "Excellent" or "Outstanding"
  • Sales and Finance departments have 23-31% of employees rated "Good", indicating lower performance
  • R&D and HR departments show moderate performance, with 11% "Outstanding" ratings

2.2 Critical Drivers of Departmental Performance

2.2.1 Employee Satisfaction

Environment Satisfaction:

  • Development and Data Science departments: 75-80% of employees report satisfaction levels 3-4 (High to Very High)
  • Sales and Finance departments: 40-50% of employees report satisfaction levels 1-2 (Low to Medium)

Job Satisfaction:

  • Development department: 65% of employees report satisfaction levels 3-4
  • Sales department: 45% of employees report satisfaction levels 1-2, corresponding to lower performance ratings

2.2.2 Compensation and Recognition

  • Employees rated "Outstanding" (Level 4) received 20.7% average salary increases, compared to 14-15% for lower ratings
  • Development and Data Science employees with Level 4 ratings received salary increases exceeding 20%, correlating with higher retention rates

2.2.3 Attrition Trends

Department Attrition Rate Primary Drivers
Sales 18.6% Low satisfaction, longer promotion gaps
Finance 15.3% Limited training, moderate salary hikes
Development 5.1% High satisfaction, frequent promotions

2.3 Experience and Tenure Analysis

  • Development department: Average tenure of 6.7 years with higher performance ratings
  • Sales department: Average tenure of 9.1 years with average promotion interval of 3.7 years

3. Recommendations

1. Improve Satisfaction in Sales and Finance Departments:

  • Sales/Finance: Implement mentorship programs and flexible work policies to increase environment and job satisfaction scores
  • Conduct quarterly feedback sessions to identify and resolve employee concerns

2. Align Compensation with Performance:

  • Implement tiered salary hikes for "Outstanding" ratings in Sales and Finance departments matching Development's 20%+ structure

3. Standardize Promotion Timelines:

  • Establish promotion cycles in Sales and R&D departments with maximum 2-3 year intervals to reduce stagnation

4. Department-Specific Training:

  • Sales: Technical training in CRM tools and client management systems
  • Finance: Leadership development and strategic planning training

5. Retention Programs for High Performers:

  • Development/Data Science: Offer customized career paths and specialized project assignments

4. Conclusion

Departmental performance at INX Future Inc. correlates with employee satisfaction, compensation recognition, and career progression timelines. Implementing satisfaction improvement programs in Sales and Finance departments, standardizing promotion cycles, and replicating Development's compensation structure can restore service delivery standards and client satisfaction levels.

Next Steps: Train predictive models to identify employees at risk of underperformance and validate departmental performance drivers.

End of Report