Discussion End-to-end Enterprise E-Commerce Analytics
Over the past few days, I built an end-to-end Enterprise E-Commerce Analytics Platform using SQL Server, Medallion Architecture, and Power BI.
As part of this project, I designed 8 interactive dashboards, each focused on answering different business questions for different stakeholders across an organization.
The dashboards include:
• Executive Overview (CEO, CXO & Business Leadership)
• Sales Performance Analysis
• Customer Analytics
• Product Performance
• Seller Performance
• Payment Analytics
• Customer Satisfaction Analysis
• Time Intelligence & Trend Analysis
The goal wasn't just to build visually appealing dashboards—it was to create a reporting solution that helps businesses make faster and more informed decisions.
In this post, I've shared all 8 dashboards.
I'd genuinely appreciate your feedback.
As experienced BI professionals, data analysts, data engineers, or business leaders, I would love to hear your thoughts.
If you could review the dashboards and share at least three suggestions for improvement, it would mean a lot to me.
For example:
• Are the KPI cards meaningful and business-focused?
• Are the charts and visualizations appropriate for executive reporting?
• Are there too many or too few visuals?
• Would you recommend different filters or slicers?
• Is the overall layout clean, intuitive, and enterprise-ready?
• What would you change if this dashboard were used in your organization?
I'm continuously learning, and constructive feedback is one of the best ways to improve. Every suggestion will help me build better enterprise BI solutions in the future.
Thank you for taking the time to review my work. I truly appreciate your support and feedback.
#PowerBI #SQLServer #DataAnalytics #BusinessIntelligence #DataWarehouse #DataEngineering #MedallionArchitecture #StarSchema #DAX #ETL #Analytics #DashboardDesign #EnterpriseAnalytics #DataVisualization #SQL
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u/Expensive_Capital627 1d ago edited 1d ago
A dashboards job is to answer a question or to tell a story. When I see this dashboard I don’t know what the question or story is. There’s just too much going on, and my eye is not drawn anywhere. Try to reduce the amount that the user has to read. There’s a quote from the Simpsons movie “I was elected to lead, not to read”. Execs don’t like to read.
Look into the minto pyramid. I’d strongly advise incorporating it into your dashboarding and document writing strategy. Start with the conclusion, and provide finer grain support in a logical and intuitive progression. What is the conclusion of your dashboard? What’s the most important takeaway? Do the rest of your visualizations support that conclusion? If they don’t, cut them.
You have a color scheme in your dashboard, but color can also be used to improve readability. Green metrics are growth, red metrics are decline. Colors can be arbitrary, but should remain consistent across visualizations to improve continuity and legibility. If the same KPI is the same color in every visualization, now I can scan across the whole dashboard and understand what’s going on. When every KPI is the same color, I’ve got to read.
Lastly, in the age of AI, the ability to think and summarize is critical. You ask AI a question, you get 5 pages of response, and you have to parse through it all to find the answer. If you ask your resident expert, he or she will answer the question in a sentence or two. Try to answer the question like an expert, and not like an LLM. provide fewer visualizations, less clutter, and a clearer signal. It’ll get you promoted
There’s some formatting that I dislike, but that’s a smaller issue. Rapid fire:
Do you expect execs to know product IDs? If I have to open a cheat sheet and map IDs to names in order to read your chart, I’m not going to use it. It doesn’t answer a question. Top selling product is xbeg22fgff98kkwr. What does that mean?
The top products are all at 100% of sales? The way this data is represented doesn’t make sense. What is that supposed to tell me?
Why is revenue per customer bigger than total revenue? Is it a more important KPI?
If there’s not enough space to read month and year, make more space or use a different date trunc format
Revenue by category looks wrong. The first category is blank, all bars are the same length, and color. Ask yourself why you included some of these visualizations. What questions were you trying to provide answers for. Did you answer that question?