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.
The following specific elements that make up the goal can be split out:
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.
Give businesses insightful information about how well their sales techniques are working through visualization and charts.
Using historical data and time series, produce revenue projections for the upcoming 15 days.
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- 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