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Community Blog Global Sales Performance Insights with Quick BI

Global Sales Performance Insights with Quick BI

This project is from team Alice Yan, which was awarded the Most Voted Award in the 2025 Quick BI Global Data Visualization Hackathon.

This project is from team Alice Yan, which was awarded the Most Voted Award in the 2025 Quick BI Global Data Visualization Hackathon.

Project Introduction

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This project is an interactive Global Sales Performance Dashboard, built on Alibaba Cloud's Quick BI, designed to transform complex, multi-year transactional data into actionable business intelligence. The dashboard provides a unified view of sales, profitability, logistics, and customer dynamics across global markets from 2016 to 2019.

It serves as a central decision-support system for executives, sales managers, and logistics planners, enabling them to monitor key performance indicators (KPIs), diagnose root causes, and identify strategic opportunities in near real-time. The intuitive, tab-based design facilitates a seamless analytical workflow from high-level overviews to granular, operational details.

🔗 Explore the project here

Project Value

The primary value of this dashboard is its ability to drive data-informed decisions that directly impact revenue growth and operational efficiency. Specific value propositions include:

  • Revenue Optimization: Identifies high-performing products, categories, and geographic markets to allocate resources effectively, potentially increasing sales by focusing on top-converting segments.
  • Profitability Protection: Highlights products and transactions with low or negative profit margins, often linked to excessive discounting, enabling corrective pricing strategies.
  • Logistical Cost Reduction: Analyzes shipping cost ratios and delivery efficiency by mode and region, uncovering opportunities to negotiate carrier contracts or optimize shipping strategies, reducing overhead.
  • Enhanced Customer Understanding: Segments customers by value and identifies key demographics, enabling targeted marketing campaigns and improved customer retention strategies.
  • Operational Efficiency: Drastically reduces the time spent on manual data aggregation and report generation, freeing up analyst and manager time for strategic action.

Solution

The solution employs a robust end-to-end data analytics pipeline:

Data Source:

Integrated raw transactional data from global retail operations, encompassing over 500,000 orders across 50+ countries.

Data Processing & Modeling:

  • Cleaning: Addressed missing values, standardized geographic names (e.g., country, city), and ensured data consistency.
  • Transformation: Created critical calculated fields including Profit Margin, Shipping Cost Ratio, Delivery Days, and complex time-intelligence measures for Year-over-Year (YoY) and Month-over-Month (MoM) comparisons.
  • Modeling: Implemented a star schema data model for optimal query performance, with fact tables linked to dimensional tables for Date, Geography, Product, and Customer.

Visualization & Design:

Utilized Quick BI's advanced features to build an intuitive user experience:

  • A top-level KPI ribbon with color-coded trends for at-a-glance health checks.
  • A multi-tab architecture organizing analysis into thematic areas: Sales Performance, Profitability, Shipping, Geography, and Customer Insights.
  • Interactive drill-downs (e.g., Year → Quarter → Month; Category → Sub-Category) and cross-filtering, allowing users to explore data intuitively.
  • Diverse visualizations (treemaps, box plots, filled maps, scatter plots) chosen to best represent specific analytical questions.

Highlights

The dashboard unveils several critical insights that would be difficult to discern from static reports:

Discount vs. Profit Paradox: The scatter plot in the Profitability tab reveals the non-linear relationship between discount levels and profitability, clearly showing the point after which deeper discounts erode net profit.

Shipping Mode Efficiency: The box plot analysis of "Delivery Days by Ship Mode" visually compares the reliability and speed of different carriers, not just their average performance, highlighting trade-offs between cost and service level.

Geographic Profit Concentration: The map and treemap visuals quickly identify not just the highest-selling countries, but the most profitable ones, which is crucial for strategic market investment.

Product Performance Spectrum: The "Top 10 Products" by sales and the "Low-Profit Alert" table work in tandem to distinguish between revenue-generators and true profit-generators, preventing the "vanity metric" trap.

Big Data Developers Data analysis Data Visualization Quick BI Data Visualization Hackathon
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