The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
How I Built an End-to-End Sales Analytics Dashboard in Excel for an E-commerce Company
I recently completed an end-to-end sales analytics project using Microsoft Excel, transforming raw e-commerce sales data into an interactive dashboard that provides meaningful business insights.
In this project, I explored the data, performed analysis, identified key sales trends, and built an interactive dashboard to help businesses make data-driven decisions.
I documented the entire process, including the approach, tools, analysis, and dashboard development.
Read the full project walkthrough on Medium: https://medium.com/@Refino/how-i-built-an-end-to-end-sales-analytics-dashboard-in-excel-for-an-e-commerce-company-e8692d81f354
Excellent work! Turning raw data into actionable business insights is a valuable skill.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Interactive AI Analytics Dashboard | SaaS Product Design
A modern, animated AI-powered eCommerce analytics dashboard designed to help businesses track sales performance, monitor revenue, understand customer behavior, and make data-driven decisions.
The design combines a clean SaaS interface, intuitive data visualization, interactive dashboard elements, and smooth animations to create a more engaging user experience. Every section is designed to make complex analytics easier to understand while maintaining a professional, scalable, and user-friendly layout.
Super clean work!
🗺️ Map design is where technical GIS data meets user adoption. For this ArcGIS API project, we engineered a dynamic spatial intelligence tool—featuring custom polygon territories, real-time geocoded competitor benchmarking with interactive popups, and clean SVG pin UI layers. Result? Clients turn complex competitor metrics into clear, actionable site selection insights instantly ⚡
Your competitors can change their prices overnight. Your data collection system shouldn't miss it. 📊
Imagine checking 50 product pages every morning just to find out which prices have changed.
Now imagine getting that information automatically.
With Python web scraping and automation, businesses can build systems that:
→ Monitor product prices across multiple websites
→ Track stock availability
→ Compare competitor pricing
→ Record changes over time
→ Send alerts when something important changes
→ Export updated data to Excel or CSV
Instead of repeatedly checking websites, you get organized information that helps you make better business decisions.
This can be especially useful for e-commerce businesses, online retailers, and teams that regularly research competitors.
At ScrapePro Solutions, I build custom Python scraping and automation solutions tailored to specific business needs.
A quick question for e-commerce business owners:
If a competitor changed their product price today, how would you find out — manual checking or automatic alerts?
💬 Share your answer in the comments.
Two things bit me while building a price tracker. A page can come back "successful" but empty (in my case, compressed content the client couldn't decode), and saving that blindly overwrites good data. So I refuse any page with no title and no price, and only record a change when...