{"id":26821506,"url":"https://github.com/data-edd/sales_performance_analysis","last_synced_at":"2025-10-19T03:52:38.472Z","repository":{"id":280655693,"uuid":"929927371","full_name":"data-edd/Sales_Performance_Analysis","owner":"data-edd","description":"Sales performance analysis from 2018-2021 ","archived":false,"fork":false,"pushed_at":"2025-03-04T15:54:18.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-04T16:31:18.979Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/data-edd.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2025-02-09T18:09:08.000Z","updated_at":"2025-03-04T15:54:22.000Z","dependencies_parsed_at":"2025-03-04T16:31:39.257Z","dependency_job_id":"d14f602f-6d3c-448e-a789-03b56587a132","html_url":"https://github.com/data-edd/Sales_Performance_Analysis","commit_stats":null,"previous_names":["data-edd/sales_performance_analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FSales_Performance_Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FSales_Performance_Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FSales_Performance_Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/data-edd%2FSales_Performance_Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/data-edd","download_url":"https://codeload.github.com/data-edd/Sales_Performance_Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246290555,"owners_count":20753723,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-03-30T07:31:05.546Z","updated_at":"2025-10-19T03:52:38.360Z","avatar_url":"https://github.com/data-edd.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sales Performance Analysis - Power BI\n\n## Description\n\nThis project analyzes sales performance over the years 2018-2021 using Power BI. The dashboard provides insights into customer purchasing behavior, regional sales distribution, and trends over time to help businesses make data-driven decisions.\n\n## Dataset Information\n\n**Source:** Sales transaction and customer database  \n**Format:** Excel / CSV  \n\n### Tables Used:\n\n#### Customer Table\n- City\n- Customer Category\n- Customer ID\n- Province/State\n\n#### Invoice Table\n- Customer Code\n- Date\n- Description\n- Invoice ID\n- Quantity\n- Sales\n- Transaction ID\n\n## Installation \u0026 Requirements\n\nTo set up and explore the Power BI analysis, ensure you have the following tools installed:\n\n### Required Tools:\n- Power BI Desktop\n- Data source connections (Excel, CSV)\n\n## Usage\n\nTo analyze the data and explore insights:\n\n1. Clone the repository:\n   ```sh\n   git clone https://github.com/data-edd/sales-performance-dashboard.git\n   ```\n2. Open the `SALES-PERFORMANCE-DASHBOARD.pbix` file in Power BI Desktop.\n3. Refresh the dataset to load the latest data.\n4. Explore the interactive dashboards and reports.\n\n## Key Metrics \u0026 Insights\n\nThis Power BI dashboard focuses on the following key performance indicators:\n\n- **Sales by Customer Category:** Understanding revenue contributions from different customer segments.\n- **Quantity by Customer Category:** Analyzing product demand among customer categories.\n- **Sales by Province/State:** Geographical distribution of sales.\n- **Quantity and Sales by Year:** Trends in sales and product movement over time.\n- **Year-to-Date (YTD) Sales:** Tracking cumulative sales for the current year.\n- **Year-on-Year (YoY) Sales:** Comparing annual sales performance to identify growth trends.\n\n## Methodology\n\nThe analysis follows a structured approach:\n\n1. **Data Import \u0026 Transformation:** Data cleaning and preparation using Power Query.\n2. **Exploratory Data Analysis (EDA):** Identifying trends, patterns, and relationships.\n3. **Data Modeling:** Establishing relationships between tables and creating DAX measures.\n4. **Visualization:** Presenting insights through Power BI dashboards.\n\n## Results \u0026 Insights\n\n### Key findings from the analysis include:\n\n- **High Sales in Specific Customer Categories:** Certain customer segments contribute significantly to revenue, suggesting potential for targeted marketing efforts.\n- **Regional Sales Disparities:** Some provinces/states consistently outperform others in sales, indicating opportunities for expansion or targeted sales strategies.\n- **Seasonal Trends in Sales:** Notable fluctuations in sales figures throughout the year suggest seasonal demand patterns.\n- **Customer Buying Behavior:** Analysis shows that repeat customers generate a significant portion of sales, emphasizing the importance of customer retention strategies.\n- **YoY Growth Trends:** While sales have grown year-over-year, certain periods show stagnation or decline, highlighting areas for improvement.\n\n## Contributions\n\nContributions are welcome! If you’d like to contribute:\n\n1. Fork the repository.\n2. Create a new branch (`feature-branch-name`).\n3. Commit your changes and push to the branch.\n4. Submit a pull request.\n\n## Contact\n\nFor any inquiries or support, feel free to open an issue or contact [mr.armstrongedward@gmail.com](mailto:mr.armstrongedward@gmail.com).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdata-edd%2Fsales_performance_analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdata-edd%2Fsales_performance_analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdata-edd%2Fsales_performance_analysis/lists"}