Task-3-

📊 Sales & Finance Dashboard Analysis

This repository contains an analysis of a sales and finance dashboard, providing key performance indicators (KPIs), trend analysis, and actionable insights to drive business growth and profitability.

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🧾 Dashboard Overview

The dashboard presents a concise view of the company's:

• Financial health
• Product performance
• Customer demographics
• Historical sales trends

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🔍 Key Insights

• Strong Overall Performance: Healthy revenue, profit margin, and consistent sales growth reflect a robust business model.

• Profit Leader – Helmets: This sub-category stands out as a major contributor to profit, showing strong customer preference and pricing power.

• Revenue Driver – Bikes: "Bikes" (especially Mountain and Road types) generate the highest revenue and form the core of the business.

• Balanced Customer Base: Revenue is nearly equally split between male and female buyers, indicating broad appeal.

• Key Age Segment: The majority of revenue comes from customers aged 20–50, peaking around 30–40 years old.

• Geographic Concentration: Sales are focused in a few high-performing states, indicating room for national expansion.

• Consistent Growth: Key metrics like revenue, profit, and quantity sold show steady upward trends from 2015 to mid-2016.

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💡 Recommendations

• Capitalize on Helmet Success
  Expand inventory, marketing, and regional promotion for Helmets due to their high profit contribution.

• Strategic Diversification
  Boost performance in Accessories and Clothing segments to diversify revenue and reduce risk.

• Refine Customer Targeting
  Focus on the 20–50 age group and develop tailored campaigns for both genders to maintain balance and engagement.

• Geographic Expansion
  Identify underserved regions and expand reach to broaden the customer base.

• Analyze Growth Factors
  Investigate the underlying causes of 2015–2016 growth to replicate or enhance performance in future periods.

• Maintain Cost Efficiency
  Regularly assess operational costs to preserve profit margins and scalability.

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🧰 Tools Used

• Power BI Desktop
• DAX for calculated KPIs and time-series metrics
• Excel/CSV for initial data processing

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📂 How to Use

1. Download the .pbix file from this repo
2. Open it using Power BI Desktop
3. Interact with filters and visuals to explore the insights
4. Export or embed for stakeholder presentations

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