{"id":21861747,"url":"https://github.com/jaini-bhavsar/tableau","last_synced_at":"2026-01-04T10:46:50.995Z","repository":{"id":241966993,"uuid":"808332079","full_name":"Jaini-Bhavsar/Tableau","owner":"Jaini-Bhavsar","description":"This repository contains tableau dashboards.","archived":false,"fork":false,"pushed_at":"2024-05-30T21:29:12.000Z","size":1174,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-26T14:54:16.200Z","etag":null,"topics":["calculated-fields","kpis","tableau","tableau-dashboards","tableau-public"],"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/Jaini-Bhavsar.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":"2024-05-30T21:07:35.000Z","updated_at":"2024-05-30T21:29:16.000Z","dependencies_parsed_at":null,"dependency_job_id":"1dc7d464-9ad3-469a-acd7-f08241d633c0","html_url":"https://github.com/Jaini-Bhavsar/Tableau","commit_stats":null,"previous_names":["jaini-bhavsar/tableau"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jaini-Bhavsar%2FTableau","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jaini-Bhavsar%2FTableau/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jaini-Bhavsar%2FTableau/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Jaini-Bhavsar%2FTableau/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Jaini-Bhavsar","download_url":"https://codeload.github.com/Jaini-Bhavsar/Tableau/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244860681,"owners_count":20522479,"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":["calculated-fields","kpis","tableau","tableau-dashboards","tableau-public"],"created_at":"2024-11-28T03:12:32.183Z","updated_at":"2026-01-04T10:46:50.967Z","avatar_url":"https://github.com/Jaini-Bhavsar.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Sales and Customer Analytics Dashboards\n\n## Objective:\nDeveloped interactive dashboards to help sales managers and executives analyze sales performance and understand customer trends and behaviors, thereby driving data-informed decision-making.\n\n## Context:\nThis project was created as part of a requirement to build a user story for stakeholders using Tableau, focusing on sales performance and customer analysis.\n\n## Tools and Techniques:\n\n1. Tools: Tableau Desktop\n2. Techniques: Calculated Fields, Data visualization, KPI tracking, Trend analysis, Comparative analysis, Dynamic and interactive dashboard design\n\n## Sales Dashboard\nDashboard Purpose:\nPresented an overview of key sales metrics and trends, enabling stakeholders to analyze year-over-year sales performance and identify sales trends.\n\n## Key Features:\n\n### 1. KPI Overview:\n* Displayed a summary of total sales, profits, and quantities for the current and previous year.\n* Offered a clear comparison to highlight annual performance changes.\n\n### 2. Sales Trends:\n* Provided a monthly breakdown of KPIs (total sales, profits, quantities) for both the current and previous year.\n* Highlighted months with the highest and lowest sales for quick recognition.\n\n### 3. Product Subcategory Comparison:\n* Conducted a comparative analysis of sales performance by product subcategories for the current and previous year.\n* Included a comparison of sales with profit to assess profitability by subcategory.\n\n### 4. Weekly Trends for Sales \u0026 Profit:\n* Visualized weekly sales and profit data for the current year.\n* Displayed average weekly values and highlighted weeks performing above and below the average to emphasize performance deviations.\n\n## Customer Dashboard\nDashboard Purpose:\nProvided an overview of customer data, trends, and behaviors, aiding marketing teams and management in understanding customer segments and improving customer satisfaction.\n\n## Key Features:\n\n### 1. KPI Overview:\n* Summarized the total number of customers, total sales per customer, and total number of orders for the current and previous year.\n* Facilitated a year-over-year comparison to track customer engagement and sales effectiveness.\n\n### 2. Customer Trends:\n* Presented monthly data for each KPI (number of customers, sales per customer, number of orders) for both the current and previous year.\n* Highlighted months with the highest and lowest sales to identify significant trends.\n\n### 3. Customer Distribution by Number of Orders:\n* Visualized customer distribution based on the number of orders placed, providing insights into customer behavior, loyalty, and engagement.\n\n### 4. Top 10 Customers By Profit:\n* Displayed the top 10 customers generating the highest profits.\n* Included additional details such as rank, number of orders, current sales, current profit, and last order date for a comprehensive view of top customers.\n\n## Design \u0026 Interactivity Requirements:\n\nDashboard Dynamics:\n* Enabled users to check historical data by selecting any desired year.\n* Facilitated easy navigation between the sales and customer dashboards.\n* Made charts and graphs interactive, allowing users to filter data directly using the visualizations.\n* Provided data filtering options by product information (category, subcategory) and location information (region, state, city).\n\n## Results and Insights:\n\n* Delivered actionable insights into sales and customer behavior.\n* Identified peak and off-peak sales periods, aiding in inventory and resource planning.\n* Highlighted top-performing products and customer segments, informing targeted marketing strategies.\n\n## Business Relevance:\n\n* Empowered stakeholders with data-driven insights for strategic planning.\n* Enhanced understanding of sales performance and customer dynamics, leading to informed business decisions and improved customer satisfaction.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaini-bhavsar%2Ftableau","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaini-bhavsar%2Ftableau","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaini-bhavsar%2Ftableau/lists"}