Data-Driven Decision Making
Businesses face the complex challenge of managing operations across diverse geographical regions, each with unique economic landscapes and consumer behaviors. The key problem lies in efficiently synthesizing vast amounts of disparate data from multiple countries to derive actionable insights for strategic decision-making.
Specifically, the business needs to address:
Specifically, the business needs to address:
- Revenue Disparities: Understanding and addressing the significant variations in gross revenue across different countries, from high-performing markets like the USA to potentially underperforming regions like France and India.
- Profitability Analysis: Identifying the factors contributing to differing profitability levels between major markets, as exemplified by the contrasting financial metrics of China and Japan.
- Order Volume vs. Revenue Correlation: Investigating the relationship between order counts and revenue generation in various geographical areas, particularly in cases where high order volumes don't necessarily translate to proportional revenue.
- Market Share Optimization: Balancing resource allocation and market focus based on the current proportion of gross revenue generated in each country, ensuring sustainable growth across a diversified global presence.
- Supplier Performance Evaluation: Assessing and comparing the performance of suppliers within specific regions, such as the UK, to optimize supply chain decisions and negotiate effectively.
- Data Integration Challenges: Overcoming the difficulties in combining financial, operational, and geographic data from multiple sources into a coherent, easily interpretable format for quick decision-making.
- Quickly identify trends and anomalies across different markets
- Compare performance metrics between countries and suppliers
- Understand the relative importance of each market to overall business performance
- Make data-driven decisions on resource allocation, market entry/exit strategies, and supply chain optimizations
| looker_data_set.xlsx |
4 Separate Datasets: (Customer | Order | Supplier | Countries)
The above dashboard (live thru Google Looker) presents a comprehensive view of business performance across different countries, combining financial metrics, order volumes, and revenue proportions. Let's break down what we can learn from each component:
- Average Gross Revenue by Country The bar chart clearly shows that the USA leads in gross revenue, followed by Jamaica and Trinidad. This immediately highlights our strongest markets and potential areas for growth in countries like France and India.
- Financial Metrics for China & Japan This detailed breakdown for two major Asian markets reveals interesting contrasts. While China has a higher average gross revenue, Japan shows a better profit margin (the difference between gross revenue and cost). This insight could inform tailored strategies for each market.
- Order Count by Geographical Area The USA dominates in order volume, which correlates with its high gross revenue. However, some countries like Trinidad show a disproportionately high order count relative to revenue, suggesting smaller but more frequent purchases.
- Proportion of Gross Revenue by Country The pie chart offers a quick visual of market share. The USA accounts for about 20% of gross revenue, but it's clear that the business has a well-diversified global presence, with significant contributions from Jamaica, Trinidad, Italy, and China.
- Net Revenue for UK Suppliers This comparison between two UK suppliers shows that English Delicatessen outperforms Scottish Delights in net revenue, which could inform supplier negotiations or inventory decisions.
Sample Visualizations - Tableau Live (Public)
