https://github.com/manishkr1754/food_delivery_dashboard_tableau

Food Delivery Company Sales Analytics using Tableau
https://github.com/manishkr1754/food_delivery_dashboard_tableau

analytics business-analytics business-intelligence dashboard data-visualization meal-delivery-service tableau tableau-dashboards tableau-prep tableau-story

Last synced: 2 months ago
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Food Delivery Company Sales Analytics using Tableau

• Host: GitHub
• URL: https://github.com/manishkr1754/food_delivery_dashboard_tableau
• Owner: manishkr1754
• Created: 2023-01-19T18:52:29.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-02-02T17:24:27.000Z (over 2 years ago)
• Last Synced: 2025-02-05T08:15:33.442Z (4 months ago)
• Topics: analytics, business-analytics, business-intelligence, dashboard, data-visualization, meal-delivery-service, tableau, tableau-dashboards, tableau-prep, tableau-story
• Homepage:
• Size: 4.17 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Food_Delivery_Dashboard_Tableau

Food Delivery Company Sales Analytics using Tableau

## Problem Statement

To create a story in Tableau that showcases the demand level in each fulfillment center and provides a granular understanding of the performance of the center by including product information. The client wants an end-to-end report to identify which fulfillment areas are performing well and which ones are not, and to add nuance to the report, the analysis should also consider the center-meal combination. The objective is to provide the client with a comprehensive understanding of the demand level in each fulfillment center and its relation to the product offerings.

## Approach

Crafted interactive dashboard on **450k+ rows** dataset across **15 fields** using Tableau Desktop and Tableau Prep

## Outcome

Delivered a comprehensive and interactive Tableau report that illustrates the demand level in each fulfillment center, offering a granular analysis of center performance through product information and center-meal combination insights. The report will empower **informed decision-making** by revealing strengths and weaknesses.

# Dashboard

![image](https://user-images.githubusercontent.com/114581035/213907437-dbd7fa7a-ab96-429c-a14c-b5e59624efae.png)

![image](https://user-images.githubusercontent.com/114581035/213907449-d8fb39dd-5739-4856-bce2-ea0e95329434.png)

# Meal Story

![image](https://user-images.githubusercontent.com/114581035/213907326-2724b62a-e866-4ca7-870c-f833991514e9.png)

# Center Story

![image](https://user-images.githubusercontent.com/114581035/213907376-8e4a2947-9bda-4a14-bb59-d4f4b811e44c.png)

# Promotion and Operation Area Influence Story

![image](https://user-images.githubusercontent.com/114581035/213907392-107aa147-8d52-429c-9a30-7636a21a07bc.png)

# Forecast Story

![image](https://user-images.githubusercontent.com/114581035/213907401-00523067-8353-44b6-b152-7947b5588daf.png)