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https://github.com/sankalp130/call-center_data-analysis

This repository contains Tableau dashboard, visualization, and data analysis projects I have created.
https://github.com/sankalp130/call-center_data-analysis

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This repository contains Tableau dashboard, visualization, and data analysis projects I have created.

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# CallCenter_Data Analysis - Tableau-Project
This repository contains Tableau dashboard, visualization, and data analysis projects I have created.

Analyzing Employee Trends
[Analyzing Employee Trends.twbx](Analyzing Employee Trends Dashboard.png)

# Project Description
This interactive Tableau dashboard was created to visualize and analyze HR data to derive insights into the employee base. The key goals were to:

Provide analysis of employee distribution across business units and roles
Identify trends in demographics like age, gender, education level
Evaluate employee satisfaction and engagement metrics
Analyze factors related to employee attrition and turnover
Enable data-driven decision making around HR initiatives
The dashboard brings together employee data from various HR systems into a unified view. It allows slicing and dicing the data by departments, demographics, job attributes and other dimensions.

Some key visualizations include:

Headcount and demographics analysis
Employee spread by business unit, job function
Satisfaction scoring trends over time
Attrition rates by age, gender, job role
Compensation and performance analysis
HR KPIs and metrics

![Tableau Dashboard](https://github.com/user-attachments/assets/35b96b30-9c6b-4b15-93cf-5953d3ab14a7)

Exploring Trends in the Automotive Industry
[Exploring Trends in the Automotive Industry.twbx](Exploring Trends in the Automotive Industry.png)

Project Description
This project involved creating an interactive Tableau dashboard to visualize and analyze used car sales data. The key goals were to:

Provide insights into sales trends over time
Compare performance by transmission, fuel type, ownership etc.
Analyze sales and pricing by different car segments
Identify relationships between mileage, age and pricing
Enable data-driven decision making for inventory, pricing and marketing
The dashboard combines used car listing data from various sources. It allows slicing and dicing - the data by relevant dimensions using filters and parameters.

Key visualizations include:

Sales price trends over time
Analysis of average pricing, mileage by fuel type, transmission
Used car volume by dealer type, owner types
Correlation analysis between pricing factors
Forecasting of future pricing based on trends
![Tableau Dashboard](https://github.com/user-attachments/assets/06c9b131-7c97-4b62-ae81-4f06c6f85dcb)

# CallCenter Data Analysis
[CallCenter Data Analysis.twbx](Callcenter Data Analysis.png)

Project Description
This project involved creating an interactive Tableau dashboard to visualize and analyze call center data. The key goals were to:

Provide insights into call volume, sentiment, and complaint types
Identify trends in response time and service level adherence
Compare performance across different channels and locations
Enable data-driven decision making for call center operations
The dashboard combines data from call logs, transcripts, surveys, and other sources. It utilizes various charts, metrics, and filters to slice the data by relevant dimensions.

# Key visualizations include:

Call volume and sentiment breakdowns
Analysis of call drivers by most common complaint reasons
Response time analysis against service level agreements
Call center volume and performance by location
Channel analysis comparing call center, email, chat, and web
![CallCenter_Data Analysis](https://github.com/user-attachments/assets/214180e4-43aa-46e4-8efc-51e028f3c7aa)

# About Tableau
Tableau is a powerful data visualization and business intelligence tool. Some key features:

Drag and drop interface to build interactive dashboards

Broad data connectivity to combine data sources

Diverse visualization types including maps, charts, graphs etc.

Smart analytics with trendlines, forecasting, clustering etc.

Sharing capabilities for visualizations and dashboards

# How to Use
Download and install Tableau Desktop
Download the .twbx file for any project
Open the file in Tableau to interact with the visualizations
Connect to your own data sources to create custom dashboards