{"id":26733535,"url":"https://github.com/geetisha/sales_insight_data_analysis_using_sql_and_tableau-etl-","last_synced_at":"2026-01-07T12:04:37.786Z","repository":{"id":282868802,"uuid":"949917316","full_name":"geetisha/Sales_Insight_Data_Analysis_using_SQL_and_Tableau-ETL-","owner":"geetisha","description":"Sales Insights - A Data Analysis Project performed on Tableau \u0026 SQL Topics  ","archived":false,"fork":false,"pushed_at":"2025-03-17T15:34:10.000Z","size":6007,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-28T01:58:59.327Z","etag":null,"topics":["dashboard","data-analysis","data-visualization","mysql","project","sales-analysis","sql","tableau"],"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/geetisha.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":"2025-03-17T10:48:05.000Z","updated_at":"2025-03-18T08:55:50.000Z","dependencies_parsed_at":"2025-03-17T11:48:55.677Z","dependency_job_id":null,"html_url":"https://github.com/geetisha/Sales_Insight_Data_Analysis_using_SQL_and_Tableau-ETL-","commit_stats":null,"previous_names":["geetisha/atliq_sales_insight_data_analysis_using_sql_and_tableau","geetisha/sales_insight_data_analysis_using_sql_and_tableau-etl-"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FSales_Insight_Data_Analysis_using_SQL_and_Tableau-ETL-","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FSales_Insight_Data_Analysis_using_SQL_and_Tableau-ETL-/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FSales_Insight_Data_Analysis_using_SQL_and_Tableau-ETL-/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/geetisha%2FSales_Insight_Data_Analysis_using_SQL_and_Tableau-ETL-/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/geetisha","download_url":"https://codeload.github.com/geetisha/Sales_Insight_Data_Analysis_using_SQL_and_Tableau-ETL-/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245955262,"owners_count":20699891,"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","data-analysis","data-visualization","mysql","project","sales-analysis","sql","tableau"],"created_at":"2025-03-28T01:59:08.595Z","updated_at":"2026-01-07T12:04:37.742Z","avatar_url":"https://github.com/geetisha.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# ATLIQ-Sales-Insight : Data-Analysis-using-SQL-and-TABLEAU\n\n## OVERVIEW:\n    PROJECT NAME\n    PROBLEM STATEMENTS\n    APPROACH - PROJECT PLANNING \u0026 AIMS GRID\n    DATA ANALYST APPROACH\n    DATA ANALYSIS USING SQL\n    DATA ANALYSIS USING TABLEAU\n    NOTE\n\n## PROJECT NAME: \n\nATLIQ SALES INSIGHT – DATA ANALYSIS USING SQL AND TABLEAU\n\nAbout Project:\n\n        •\tPerformed Data Cleaning, Analysing and Visualization on India based hardware company sales insights.\n\n        •\tDeveloped ETL mappings using SQL to extract the data from unstructured data and \n                transformed it to the staging area to conduct data cleaning and design star \n                schema data model on Tableau.\n\n        •\tDeveloped a Tableau dashboard to perform analysis, producing quantitative visualizations \n                in Tableau to draw valuable insights based on different parameters affecting the company \n                performance year on year and further provide business solutions.\n\n\nAbout ATLIQ: \n\n        •\tAtliQ Hardware is Computer Hardware and peripheral Manufacture company.\n\n\nTechnologies Used: \n\n        •\tAdvance Excel\n\n        •\tMySQL | SQL Server\n\n        •\tTableau\n\n        •\tStatistics\n\n\n## PROBLEM STATEMENTS:\n\nSales director wants to know the performance of the company in various Indian states \u0026 accordingly provide some discount.\n\n        Q1. Revenue breakdown by cities.\n\n        Q2. Revenue breakdown by years \u0026 months. \n\n        Q3. Top 5 customers by revenue \u0026 sales quantity.\n\n        Q4. Top 5 Products by revenue.\n\n        Q5. Net Profit \u0026 Profit Margin by Market.\n\n\n## APPROACH - PROJECT PLANNING \u0026 AIMS GRID\n\n1. Purpose: What? Why? What do we want to achieve?\n\n        To unlock sales insights that are not visible before for sales team for decision support \n        \u0026 automate them to reduced manual time spent in data gathering.\n\n2. Stake Holders: Who will be involved?\n    \n        •\tSales Director\n        •\tI.T. Team\n        •\tCustomer Service Team\n        •\tData \u0026 Analytics Team\n\n3. End Result: What do we want to achieve?\n\n        An automated dashboard providing quick \u0026 latest sales insights in order to support data driven decision making.\n\n4. Success Criteria: What will be our success criteria?\n    \n         •\tDashboards uncovering sales order insights with latest data available.\n         •\tSales team able to take better decision \u0026 prove 10% cost savings of total spend.\n         •\tSales analysts stop data gathering manually in order to save 20% of their business time \u0026 reinvest it in value added activity.\n\n\n## DATA ANALYST APPROACH:\n\n![image](https://user-images.githubusercontent.com/124501309/216817831-a0750663-c931-45d6-8518-28bb4c57a5af.png)\n\n\n\nSetup Process:\n    \n    •\tStep 1: Download file: db_dump.sql or db_dump.xlsx.\n    \n    •\tStep 2: Import it in MySql do ETL(Extract, Transform, Load) if required.\n    \n    •\tStep 3: Download Tableau Public (Free) or Tableau Desktop (14 days trial) to perform Data Analysis.\n    \n    •\tStep 4: Connect Tableau with MySql database or Excel database.\n    \n    •\tStep 5: Save the file as (.twb or .twbx).\n\n\n## DATA ANALYSIS USING SQL:\n\n    • Show all customer records\n               \n               SELECT * FROM customers;\n    \n    • Show total number of customers\n               \n               SELECT count(*) FROM customers;\n    \n    • Show transactions for Chennai market (market code for chennai is Mark001)\n               \n               SELECT * FROM transactions where market_code='Mark001';\n    \n    • Show distrinct product codes that were sold in chennai.\n               \n               SELECT distinct product_code FROM transactions where market_code='Mark001';\n    \n    • Show transactions where currency is US dollars.\n               \n               SELECT * from transactions where currency=\"USD\"\n    \n    • Show transactions in 2020 join by date table.\n               \n               SELECT transactions., date. FROM transactions INNER JOIN date ON \n               transactions.order_date=date.date where date.year=2020;\n    \n    • Show total revenue in year 2020.\n               \n               SELECT SUM(transactions.sales_amount) FROM transactions INNER JOIN date ON transactions.order_date=date.date \n               where date.year=2020 and transactions.currency=\"INR\\r\" or transactions.currency=\"USD\\r\";\n    \n    • Show total revenue in year 2020, January Month.\n        \n               SELECT SUM(transactions.sales_amount) FROM transactions INNER JOIN date ON transactions.order_date=date.date \n               where date.year=2020 and and date.month_name=\"January\" and (transactions.currency=\"INR\\r\" or transactions.currency=\"USD\\r\");\n\n\n## DATA ANALYSIS USING TABLEAU:\n\nTableau Public Dashboards: Revenue \u0026 Profit Analysis Tableau\nCreating Star Schema in Tableau\n\n![image](https://user-images.githubusercontent.com/124501309/216817919-d2377269-7a72-4a35-9350-8c7cd49da89c.png)\n\n### Tableau Dashboard: Revenue Analysis\n\n![image](https://user-images.githubusercontent.com/124501309/222758757-53ebef06-c95d-4aa1-bd16-cb38b2d2dfd8.png)\n\n\n\nhttps://user-images.githubusercontent.com/124501309/222756968-8c0c1865-285b-466f-a4bd-9c4da35556c5.mp4\n\n### Tableau Dashboard: Profit Analysis\n\n![image](https://user-images.githubusercontent.com/124501309/222758196-8164d673-9904-4ed7-9e29-d97e6bf9517d.png)\n\nhttps://user-images.githubusercontent.com/124501309/222757161-a599a815-60c6-4036-a576-3b4a213d868a.mp4\n\n## RECOMMENDATION:\n\nBased on the dashboards Insights:\n\n  1) Should Maintain healthy relationship with the customers in Bhubaneshwar, Hyderabad, Chennai as they are highest profit % by market.\n  2) Make some stategy for Lucknow market as its revenue are less and also profit % are in negative.\n  3) Figure out what need to be done as sales quantity in Kanpur, Surat, Patna, Bhubaneshwar, Chennai are the lowest.\n  4) North zone have highest revenue contribution but lowest profit % whereas South zone have lowest revenue contribution but highest profit %. Try to increase customers in South zone.\n  5) Delhi is the highest revenue contibutor and second highest profit contributor whereas Mumbai is the second highest revenue contributor and highest profit contributor. So its need to be implement the same market strategy as in mumbai to increase the profit % in Delhi.\n\n\n## NOTE:\n\nI have uploaded all the files, datasets, workbook, icons above. Feel free to use this Project's resourses for your next Project. If you like this Project and Dashboard give it a Star or just tell me. It'll make me feel Good :)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeetisha%2Fsales_insight_data_analysis_using_sql_and_tableau-etl-","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fgeetisha%2Fsales_insight_data_analysis_using_sql_and_tableau-etl-","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fgeetisha%2Fsales_insight_data_analysis_using_sql_and_tableau-etl-/lists"}