Global Super Store Sales Analysis Dashboard

The project is based on E-commerce sales insights from Global SuperStore Sales.

Business Problem/Objective:

To contribute to the success of a business by utilizing data analysis techniques, specifically focusing on time series analysis, to provide valuable insights.

Description:

The objective can be broken down into the following detailed component.

➡Dashboard creation:
Identify the KPIs, design an intuitive and visually appealing dashboard, and have interactive visualization and filtering capability to allow users to explore the data at various levels of granularity.

➡Data analysis:
Provide valuable insights to business entities regarding the effectiveness of their strategies through visualization.

➡Sales Forecasting:
Leverage historic data and apply time series analysis to generate a sales forecast for the next 15 days.

➡Actionable Insights :
The goal is to share valuable insights and actionable information that can drive strategic decisions making and support the supermarket's goals for growth, efficiency, and customer satisfaction.

Useful Insights:

➡ Maximum sales are from the Consumer segment(51.48%) and then corporate(30.25%).
➡Technology is the category that has the maximum sales.
➡ Most of the customers preferred standard class ship mode.
➡ Next 15 Days Forecast which is very useful business.