Giter Site home page Giter Site logo

ammadsohail99 / 24-7-store-expansion-dashboard Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 2.49 MB

Created a Power BI dashboard for 24Seven's expansion, combining sales, demographics, traffic, and climate data for selecting new store locations. Offers analytics and forecasts to guide strategic decisions.

License: MIT License

24-7-store-expansion-dashboard's Introduction

24-7-Store-Expansion-Dashboard

Overview

This Power BI dashboard is designed to assist 24Seven, a rapidly expanding convenience store chain, in identifying the optimal locations for new stores across Canada. By integrating diverse datasets including sales, customer demographics, traffic patterns, and regional climate data, the dashboard calculates an "Expansion Score" to guide strategic expansion decisions. For further details, refer to Report

For Dashboard Snippets refer to the Snippets

Features

  • Expansion Score Calculation: A unique metric that evaluates potential store locations based on sales, market saturation, and demographics.
  • Sales Trends & Forecasts: Visualizes historical sales data and predicts future trends to identify growth opportunities.
  • Demographic Insights: Analyzes customer demographics for targeted marketing and product placement.
  • Traffic and Climate Analysis: Considers traffic flow data and regional climate impact on store performance.
  • Interactive Visualizations: Offers dynamic, user-friendly visualizations for in-depth data exploration.

Data Sources

  • Historical Sales Data: Transactions, revenue, and product performance metrics.
  • Customer Demographics: Age, gender, income level, and purchasing habits.
  • Product Categories: Inventory assortments and category performance.
  • Store Locations: Current stores and geographical market analysis.
  • Regional Climate Data: Impact of weather conditions on sales.
  • Traffic Flow Information: Pedestrian and vehicle traffic patterns.
  • Census Demographic Data: Broader demographic trends and economic indicators.
  • Economic Indicators: GDP, unemployment rates, and retail sector performance.

Getting Started

To use this dashboard, ensure you have access to Power BI Desktop or Power BI Service. Import the .pbix file into your Power BI environment to start exploring the data.

Usage

  • Navigate through different tabs to explore various analytics and insights.
  • Use filters to drill down into specific data points, such as geographical regions or product categories.
  • The dashboard is designed for interactive use; hover over visualizations to get detailed information.

Contributing

We welcome contributions from 24Seven team members and external collaborators. If you have suggestions for improvements or new features, please open an issue or pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

This project was a part of a master's program at McGill. Special thanks to the organizers and contributors who provided the data, tools, and resources necessary to make this challenge a stimulating and enriching experience..

24-7-store-expansion-dashboard's People

Contributors

ammadsohail99 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.