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Superstore-Sales-Dashboard-PowerBI

Superstore-Sales-Dashboard-PowerBI

Objective:

To help an organization grow by applying data analysis techniques, with a focus on time series analysis, to produce insightful data and precise sales forecasting.

Description:

The following specific elements that make up the goal can be split out:

1. Dashboard Creation:

Identify the KPIs, create a user-friendly and attractive dashboard, and incorporate interactive visualizations and filtering options to let users explore the data at different granularities.

2. Data Analysis:

Give businesses insightful information about how well their sales techniques are working through visualization and charts.

3. Revenue Forecasting:

Using historical data and time series, produce revenue projections for the upcoming 15 days.

4. Actionable Insights and Recommendations:

The ultimate goal is to provide strategic decisions and actionable insights that can support the supermarket's objectives for expansion, efficiency, and customer pleasure.

Data Used

Data- Superstore sales data containing 5902 rows for the two years 2019-2020

Data Cleaning & Analysis - Used Microsoft PowerBI : Power Query Editor for cleaning and transforming the data

Data Visualization - PowerBI