Welcome to the sales-analytics-project! This tool helps you track key performance indicators (KPIs), forecast sales, and automate reports. With this project, you can make data-driven decisions without needing to be a coding expert.

To get started, visit this page to download the latest version of the application.

1. Click the link above.
2. You'll see a list of versions. Choose the latest version.
3. Download the installation file. It will have a name like sales-analytics-v1.0.exe or similar.
4. Once it's downloaded, find the file in your downloads folder.
5. Double-click the file to start the installation process.
6. Follow the prompts to complete the installation.

Before you proceed, make sure your computer meets these requirements:

• Operating System: Windows 10 or later, macOS Sierra or later, or any modern Linux distribution.
• RAM: At least 4 GB for smooth performance.
• Disk Space: Minimum of 200 MB required for installation.

Once you've installed the application, follow these steps to get started:

1. Open the Application: Locate the application on your desktop or in your applications folder. Double-click to open it.

2. Import Your Data: You can easily import your sales data. Click on the "Import" button on the main screen. Select your file (CSV or Excel format) containing sales data.

3. Analyze Your Data: Explore the available features:

   • KPI Tracking: View key metrics like total sales, growth rate, and more.
   • Sales Forecasting: Use built-in algorithms to predict future sales based on historical data.
   • Automated Reporting: Generate reports with a single click. Output formats include PDF and Excel.

4. Visualize Your Data: The application offers various charts and graphs to represent your data visually. Use the dashboard to customize your views.

5. Save Your Work: After analyzing, you may want to save your findings. Click "Save," and choose a location for your report.

The sales-analytics-project comes loaded with features designed to enhance your sales analysis experience:

• User-Friendly Interface: Simple layout for easy navigation.
• Data Visualization: Create charts using matplotlib for clear representation of data.
• Machine Learning Algorithms: Built-in forecasting tools powered by scikit-learn.
• Customizable Reports: Tailor your reports to fit your business needs.

Need more information? Check out the following resources:

• User Guide: Detailed instructions on every feature.
• FAQ: Answers to common questions.
• Community Support: Join discussions with other users and get assistance.

We value your feedback! If you encounter any issues or have suggestions for improvement, please let us know through the Issues tab on the repository.

Happy analyzing! Enjoy making informed decisions with your sales data.