{"id":31579023,"url":"https://github.com/kahfisa/dashboard-sales-performance","last_synced_at":"2025-10-05T20:45:17.179Z","repository":{"id":315890358,"uuid":"1061050720","full_name":"Kahfisa/Dashboard-Sales-Performance","owner":"Kahfisa","description":"Dashboard Sales Performance","archived":false,"fork":false,"pushed_at":"2025-09-30T22:00:12.000Z","size":788,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-09-30T23:31:54.761Z","etag":null,"topics":["bigquery","lookerstudio"],"latest_commit_sha":null,"homepage":"https://lookerstudio.google.com/reporting/e49f40e9-ee4c-46f0-a9c0-fe18f1682dce","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/Kahfisa.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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-21T06:12:48.000Z","updated_at":"2025-09-30T22:00:16.000Z","dependencies_parsed_at":"2025-09-21T13:16:28.417Z","dependency_job_id":"ae445a5d-6513-43f0-8eac-d54d61f6cc92","html_url":"https://github.com/Kahfisa/Dashboard-Sales-Performance","commit_stats":null,"previous_names":["kahfisa/dashboard-sales-performance"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Kahfisa/Dashboard-Sales-Performance","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kahfisa%2FDashboard-Sales-Performance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kahfisa%2FDashboard-Sales-Performance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kahfisa%2FDashboard-Sales-Performance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kahfisa%2FDashboard-Sales-Performance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Kahfisa","download_url":"https://codeload.github.com/Kahfisa/Dashboard-Sales-Performance/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Kahfisa%2FDashboard-Sales-Performance/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278517842,"owners_count":26000173,"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","status":"online","status_checked_at":"2025-10-05T02:00:06.059Z","response_time":54,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["bigquery","lookerstudio"],"created_at":"2025-10-05T20:45:12.527Z","updated_at":"2025-10-05T20:45:17.172Z","avatar_url":"https://github.com/Kahfisa.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Dashboard-Sales-Performance\n\n## Introduction\nThis project is part of the Virtual Project-Based Internship program organized by Rakamin Academy in collaboration with Bank Muamalat. In this program, I took on the role of a Business Intelligence Analyst, responsible for performing data analysis and creating visualizations to support data driven decision making.\n\n\n## Objective\n- Building master tables to support dashboard visualization.\n- Designing and delivering an interactive dashboard to analyze and monitor sales performance.\n\n## Tools\n- Google BigQuery\n- Google Looker Studio\n  \n\n## Dataset\n|Dataset             |Description                                                              |Column                                                                                                                  |\n|--------------------|-------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------|\n|Customers           |Contains information about customer.                                     |CustomerID, FirstName, LastName, CustomerEmail, CustomerPhone, CustomerAddress, CustomerCity, CustomerState, CustomerZip|\n|Orders              |Contains information about order transactions.                           |OrderID, Date, CustomerID, ProdNumber, Quantity                                                                         |\n|Product Category    |Contains information about product category names.                       |CategoryID, Categoryname, CategoryAbbreviation                                                                          |\n|Products            |Contains information about product details                               |ProdNumber, ProdName, Category, Price                                                                                   |\n\n\n## Business Question\n- What is the total overall sales generated?\n- What is the total sales for each product category?\n- What is the total quantity of products sold for each product category?\n- How is the distribution of total sales across customer cities?\n- What is the total quantity of products sold in each city?\n- Which product categories are in the top 5 with the highest sales?\n- Which product categories are in the top 5 with the highest quantity sold?\n\n\n## Process\n- Process raw data using SQL in BigQuery to processing data and ensure it is ready for analysis.\n- Integrate processed data from Google BigQuery into Google Looker Studio.\n- Developing an interactive dashboard to analyze sales performance\n\n\n## Dashboard Preview\n\n\u003cimg width=\"1195\" height=\"896\" alt=\"image\" src=\"https://github.com/user-attachments/assets/37a31930-026d-4717-b063-a26bee54d19a\" /\u003e\n\n\n## Insight\n- Total sales during 2020–2021 were quite fluctuating, with the highest sales occurring in June 2021. Sales declines were observed in Q1, July, and October 2021.\n- Products in the robot category contributed the highest sales with a total of 743.5K, even though only 1.1K units were sold. Meanwhile, ebooks, training videos, and blueprints, despite having a higher number of units sold, each contributed less than 100K in sales. This happened because products such as ebooks, training videos, and blueprints are priced at a lower range.\n- Washington recorded the highest sales, amounting to 55K, with a total of 308 products sold.\n\n\n## Recommendation\n- Implement product bundling, such as offering a free ebook or training video with every purchase of a robot and robot kits or a drone and drone kits. In addition to bundling, a membership system can also be introduced, where members earn points with every purchase that can be redeemed as discounts on products.\n- Avoid stock-outs by ensuring that the best-selling products are always available so that sales remain stable.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkahfisa%2Fdashboard-sales-performance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkahfisa%2Fdashboard-sales-performance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkahfisa%2Fdashboard-sales-performance/lists"}