__STYLES__
Tools used in this project
Financial Analysis

About this project

Overview:

This dashboard serves as a comprehensive tool for visualizing and analyzing the financial performance, expense allocation, and return on investment (ROI) across various departments, regions, and investment types within the company. The dashboard is designed to provide executives and stakeholders with a detailed understanding of how different segments of the business are performing over time, highlighting key trends and areas of opportunity or concern.

undefinedKey Metrices and KPIs :

  • Total Revenue: $1.5 billion
  • Total Amount Processed: $751.01 million
  • Total Transactions: 30,000

These metrics give an immediate snapshot of the company's overall financial activity, providing a baseline for deeper analysis.

1: Amount and Revenue Analysis:

undefinedSum of Amount by Quarter:

This line chart shows the total amount processed each quarter, highlighting a downward trend from Q1 ($217M) to Q4 ($166M). The trend suggests a decrease in transaction volumes or values as the year progresses.

Sum of Amount by Month:

This line chart further breaks down the amount processed on a monthly basis, showing peaks in January ($75M) and May ($74M), with a noticeable decline in the latter half of the year, stabilizing at $54M to $56M per month. This could indicate seasonality in the business or external market factors affecting revenue.

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Revenue by Quarter:

The first quarter starts strong with $435M in revenue, but there is a noticeable decline in Q2 to $407M. The most significant drop occurs between Q2 and Q3, with revenue falling to $334M. Revenue stabilizes in Q4, remaining constant at $334M. This decline may indicate seasonal factors, reduced demand, or other external market conditions impacting sales. The stabilization in Q4 suggests that the company has managed to maintain revenue levels despite the challenges faced in Q3.

Revenue by Month:

The year begins with a strong revenue performance in January and February, each generating approximately $150M. Revenue dips in March to $136M but recovers in April and May, both of which again hit $149M. From June onwards, there is a steady decline, with the lowest revenue recorded in October ($109M) and November ($107M). December shows a slight recovery to $113M, which may suggest the beginning of a seasonal uptick or improved market conditions.

2: Expense Analysis:

Amount by Expense Type:

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A donut chart provides a breakdown of expenses by category, including Operational ($185.60M, 24.64%), HR ($189.75M, 25.27%), Marketing ($187.35M, 24.95%), and R&D ($188.85M, 25.15%). The relatively equal distribution suggests balanced spending across core functions, with HR having the largest share.

Revenue by Expense Type:

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A Funnel chart shows the revenue generated by each expense category. Marketing leads slightly, which may indicate higher returns from marketing investments, followed closely by R&D, Operational, and HR.

3: Departmental and Regional Performance:

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Departmental Performance:

This table compares the financial performance of departments like Finance, Operations, R&D, and Sales. Finance has the highest Total Revenue ($384.08M) and Total PM ($2,093.96), while Sales processes the largest amount ($190.22M). The detailed breakdown helps identify which departments are driving revenue and where efficiencies might be gained.

Regional Performance :

This section provides a geographic breakdown of performance, showing that the East region has the highest Total PM ($2,064.79) and the South leads in Total Revenue ($381.62M). The North and West regions, while still significant, show slightly lower figures. This data can inform strategic decisions around regional investments and resource allocation.

4: Return on Investment (ROI) Analysis:

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ROI by Region:A table details the ROI for each region, with the North region leading at $750.69 (25.16%), suggesting strong returns on investments in that area. The ROI is fairly consistent across regions, ranging from 24.84% to 25.16%, indicating a balanced performance geographically.

ROI by Department:

Another chart provides the ROI for each department, with Sales showing the highest ROI ($758.53, 25.24%) followed by Finance ($773.30, 25.92%) and Operations ($713.87, 23.91%). The ROI data helps in evaluating the efficiency and effectiveness of departmental investments.

5: Revenue and Amount by Investment Type:

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This section analyzes the performance of different investment types (Real Estate, Bonds, Startups, Stocks). The data shows that Real Estate generates the highest revenue ($379M) but also has the highest amount processed ($192M), indicating significant capital allocation to this investment type. Bonds and Startups have lower amounts processed but still generate substantial revenue, which may suggest higher efficiency or ROI.

This detailed visualization allows for a granular analysis that supports both tactical day-to-day decisions and long-term strategic planning

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KPI's
Slicers used
By applying slicers Amount Analysis
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