https://github.com/aditya-bhaumik/data-to-decisions-qlik-journey-through-lendingclub-issued-loans-analysis-qlik-

https://github.com/aditya-bhaumik/data-to-decisions-qlik-journey-through-lendingclub-issued-loans-analysis-qlik-

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• Host: GitHub
• URL: https://github.com/aditya-bhaumik/data-to-decisions-qlik-journey-through-lendingclub-issued-loans-analysis-qlik-
• Owner: aditya-bhaumik
• Created: 2024-06-09T08:06:09.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-06-11T14:29:11.000Z (8 months ago)
• Last Synced: 2024-11-13T16:31:16.700Z (2 months ago)
• Size: 2.49 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Data-To-Decisions-Qlik-Journey-Through-LendingClub-Issued-Loans-Analysis-Qlik-

## Introduction

This project leverages Qlik's data analytics capabilities to transform LendingClub loan data into actionable business insights. It aims to enhance decision-making, improve risk management, increase operational efficiency, and develop customer-centric strategies.

## Project Goals

- **Enhanced Decision-Making:** Provide insights for informed business decisions.

- **Improved Risk Management:** Identify and manage lending risks effectively.

- **Increased Efficiency:** Streamline processes and operations.

- **Customer-Centric Strategies:** Develop tailored products and services.

## Data Source

Dataset Link : --------------[Drive link](https://drive.google.com/file/d/1WeGrTfAN_llGD09izqGri13C0rZ7xXbE/view?usp=sharing)  -------------   [Kaggle link](https://www.kaggle.com/datasets/husainsb/lendingclub-issued-loans)

Demo video: [Link](https://drive.google.com/file/d/12OI0GVJHZLgn1NGqAMyTmrHBALdod_Ru/view?usp=sharing)

## Key Steps

1. **Data Collection:** Gathered LendingClub loan data.

2. **Data Preparation:** Cleaned, transformed, and prepared data for visualization.

3. **Data Visualization:** Created dashboards to analyze loan amounts, account types, grades, and more.

## Dashboards

- **Average Loan Amount Analysis**

- **Count Analysis**

## Tools Used

- **QlikView**

- **Qlik Sense**

## Performance Metrics

- Amount of data loaded

- Utilization of filters

- Number of visualizations/graphs

## Conclusion

This project provides a comprehensive data analytics framework to optimize lending strategies, driving business growth and enhancing competitive advantage.