kenexa-ncb-employee-engagement-analysis

Capstone project: employee engagement vs customer satisfaction vs branch performance (R, regression, clustering, Shiny)

Employee Engagement & Customer Satisfaction Analytics (Banking)

📊 Dashboard Preview

📄 Presentation

View the Capstone Presentation

📁 Repository Structure

• scripts/ → R code for analysis and modeling
• data/ → (optional) anonymized or mock data only
• plots/ → dashboard and results images
• report/ → presentation/report files

📊 Key Findings

• Employee engagement significantly impacts service quality.
• Service quality is the strongest predictor of customer loyalty (R² ≈ 0.81).
• K-means clustering segmented 128 branches into high, medium, and low performance groups.
• PCA was used to reduce dimensionality and identify major engagement drivers.

1. Clone the repository:
2. Place a mock or anonymized dataset in the data/ folder named mock_kenexa_data.csv.
3. Open the R scripts in RStudio.
4. Run the scripts in order from the scripts/ folder.