{"id":22914804,"url":"https://github.com/akashash01/restaurant-analysis","last_synced_at":"2026-01-11T01:41:15.808Z","repository":{"id":236334190,"uuid":"623897580","full_name":"Akashash01/Restaurant-Analysis","owner":"Akashash01","description":"Power BI report created for Restaurant sales analysis under certain conditions and requirements.","archived":false,"fork":false,"pushed_at":"2024-10-10T13:28:41.000Z","size":199,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-07T06:45:13.495Z","etag":null,"topics":["dashboard","dataanalysis","dax","grouping-and-summarizing","powerbi","sales"],"latest_commit_sha":null,"homepage":"","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/Akashash01.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":"2023-04-05T10:19:32.000Z","updated_at":"2025-01-11T11:55:25.000Z","dependencies_parsed_at":"2024-04-26T16:50:10.763Z","dependency_job_id":null,"html_url":"https://github.com/Akashash01/Restaurant-Analysis","commit_stats":null,"previous_names":["akashash01/restaurant-analysis"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akashash01%2FRestaurant-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akashash01%2FRestaurant-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akashash01%2FRestaurant-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Akashash01%2FRestaurant-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Akashash01","download_url":"https://codeload.github.com/Akashash01/Restaurant-Analysis/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246635962,"owners_count":20809331,"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":["dashboard","dataanalysis","dax","grouping-and-summarizing","powerbi","sales"],"created_at":"2024-12-14T05:17:05.550Z","updated_at":"2026-01-11T01:41:15.752Z","avatar_url":"https://github.com/Akashash01.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Restaurant-Analysis\nPower BI report created for Restaurant sales analysis under certain conditions and requirements.\n\nDashboard link : https://app.powerbi.com/view?r=eyJrIjoiNjAwNGUyYWUtMmRlMS00Y2Y1LTkwNjQtMzU5NDUzZWZmZDUxIiwidCI6IjY0ZGU2ZGRmLTA4ZTAtNGJjNy1iYTdkLWZmNTM1MmU1MGFjYyJ9\n\n# Description\n\n\n1. **Conducted in-depth sales analysis using Power BI, identifying key revenue drivers and seasonal trends, which enabled strategic menu adjustments and pricing optimization, resulting in a 15% increase in overall sales.**\n\n2. **Developed customer segmentation models based on purchasing behavior, demographics, and dining preferences, allowing for targeted marketing campaigns that improved customer retention by 20% and increased average order value.**\n\n3. **Created interactive Power BI dashboards to visualize sales performance by category, time, and location, facilitating real-time decision-making for management and enhancing operational efficiency across multiple restaurant locations.**\n\n4. **Analyzed customer feedback and satisfaction ratings through Power BI, linking insights to sales data to identify areas for improvement in service quality, contributing to a 10% boost in customer satisfaction scores.**\n\n5. **Leveraged data modeling techniques to integrate sales data with customer profiles, enabling personalized marketing strategies and promotions that drove repeat visits and increased customer loyalty in a competitive market.**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashash01%2Frestaurant-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fakashash01%2Frestaurant-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fakashash01%2Frestaurant-analysis/lists"}