SLA Compliance Analysis Dashboard

Project Overview

This project focuses on analyzing SLA (Service Level Agreement) compliance for support tickets. Using statistical analysis and data visualization, it provides insights into response times, resolution efficiency, and SLA adherence rates.

Key Features

• Data Analysis: Cleaning and processing support ticket data.
• SLA Compliance Metrics: Evaluating response and resolution times.
• Visualization: Interactive dashboard created with Tableau.
• Technology Stack:
  • Python (for data preprocessing and analysis)
  • Pandas, NumPy, Matplotlib, Seaborn
  • Gradio (for interactive UI)
  • Kibana Elastic (for additional data visualization & exploration)

Dataset

• technical_support_dataset.csv
• technical_support_dataset_clean.csv

How to Run the Analysis

1. Clone this repository:

   git clone https://github.com/yourusername/SLA-Compliance-Analysis.git
   cd SLA-Compliance-Analysis

2. Install dependencies:

   pip install -r requirements.txt

3. Run the data processing script:

   python data_analysis.py

4. Open the Tableau dashboard here

Dashboard Preview

Contact

For any inquiries, reach out via LinkedIn or email at ysmnaraindas.work@gmail.com.

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