Optimize Retail Strategy: SQL, Python & Power BI Analysis

Optimize Retail Strategy: SQL, Python & Power BI AnalysisOptimize Retail Strategy: SQL, Python & Power BI Analysis

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Sahil gaikwad

• Mar 10

This project provides an end-to-end analysis of superstore retail data using a multi-tool approach. By combining SQL analytics, Python data science, and Power BI visualizations, this project delivers actionable insights into sales performance, profitability drivers, and opportunities for optimization.

Microsoft Power BI Data Analysis Data Visualization Microsoft Excel SQL

Istiak Ahmed Khan

• Mar 8

This Project Overview Dashboard provides a comprehensive view of project performance, financial outcomes, and operational progress across the organization. Built using Power BI, this dashboard enables project managers and executives to monitor key project metrics, evaluate cost efficiency, and track overall project status in real time.

Key KPIs Tracked:

✔ Total Projects – Number of active and completed projects ✔ Project Cost – Total investment allocated across projects ✔ Project Benefit – Estimated value or return generated from projects ✔ Net Benefit – Difference between project benefit and cost ✔ Average Completion Rate – Overall project progress percentage

Microsoft Power BI Data Analysis Data Science Data Visualization Microsoft Excel SQL

Geethasree Naguboina

pro

• Mar 10

Tracking Net Benefit alongside Project Cost in real time is really powerful for executive decision making — gives leadership the full financial picture without digging into raw data. Well structured dashboard!

Garang Deng

• Mar 9

Data Analytics, Data entry, Web developer, Designer and Storyteller

Data Analysis Data Science Data Visualization Matplotlib pandas SQL

Md. Golam Kader

pro

• Mar 8

Managing complex data shouldn’t feel like a chore. For my latest project, Bondly, I wanted to bridge the gap between high-level promotion analysis and personal financial goal tracking within a single CRM ecosystem.

I focused on: 1. Visual Hierarchy: Using a dark sidebar to anchor the navigation while keeping the data workspace light and breathable. 2.Actionable Insights: Prioritizing "Sales Target" and "Saving Goals" to give users an immediate sense of progress. 3.Modern Data Viz: Experimenting with softer, rounded shapes for bar and bubble charts to make "Store Order Analysis" feel more approachable.

I’m looking to refine this further! I’d love your thoughts on: 1.Does the color contrast between the lime green and soft pinks work for you? 2.Is the "My Saving Goals" widget too prominent for a CRM dashboard, or does it add value?