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Clean data is the foundation of accurate dashboards.
Recently cleaned and structured multi-source sales & marketing data before building a Power BI system.
Reliable inputs = reliable decisions.
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Sales Performance Dashboard
Overview: This Power BI project provides a comprehensive Sales Performance Dashboard to help businesses monitor and analyze key sales metrics. The dashboard consolidates raw sales data into interactive visualizations, enabling decision-makers to track revenue, product performance, and regional sales trends in real time.
Nice integration of pricing, cancellations, and revenue trends.
Did you model this using a star schema or a flat transactional table? I’ve found forecasting accuracy shifts significantly depending on how booking and cancellation events are structured.
Also curious — was the...
Project Title: Blinkit Grocery Sales Analysis Dashboard
Project Summary:
This interactive dashboard provides a comprehensive analysis of $1.20M in total sales for Blinkit, transforming raw retail data into actionable business intelligence.
Core Focus
Sales Performance: Tracking key KPIs including Average Sales ($141) and Customer Ratings (3.9).
Inventory Insights: Analyzing performance across 8,500+ items, highlighting top categories like Fruits and Snack Foods.
Outlet Analytics: Evaluating revenue distribution across Outlet Sizes (Small/Medium/High) and Geographic Tiers (Tier 1–3).
Trend Mapping: Visualizing establishment growth and outlet types (Grocery vs. Supermarkets) to identify high efficiency locations
Solid breakdown of KPIs — especially tying outlet size and geographic tier into performance.
I’m curious: did you look at whether customer ratings correlate with revenue per outlet tier? Sometimes high-rating stores in Tier 2/3 outperform purely due to loyalty concentration...
Startups don’t need more data , they need clear decisions.
Most teams collect sales, marketing, and customer data but struggle to answer:
• Why are conversions dropping?
• Which customers drive real revenue?
• Where are we losing money?
I help turn raw data into clear dashboards and actionable insights.
🔎 I can help with:
✔ KPI dashboards (Power BI / Excel)
✔ SQL analysis & reporting
✔ Customer & revenue analysis
✔ Funnel & retention insights
✔ Basic predictive models
I focus on practical insights — not just charts.
📩 Open to short-term and ongoing analytics projects.
— Rabi Ali
Data Analyst | SQL | Python | Power BI
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