Insurance Claims Analytics Dashboard Development by Zuraiz Zia ✔︎Insurance Claims Analytics Dashboard Development by Zuraiz Zia ✔︎

Insurance Claims Analytics Dashboard Development

Zuraiz Zia  ✔︎

Zuraiz Zia ✔︎

Overview
The Car Insurance Company Analytics Dashboard presents a comprehensive view of the insurance claims and their characteristics over the selected period. The total claim amount registered is $53M with an umbrella limit of $1.1bn, indicating significant coverage for potential liabilities. The dashboard also reports 1,839 vehicles involved in various incidents, and an injury claim amount totalling $7M.
Capital gains from the insurance operations are noted at $25.1M, while capital losses are slightly higher at $26.8M, showing a closely managed financial environment with room for optimization. The dashboard highlights the gender distribution of witnesses, showing a nearly even split with 52.12% female and 47.88% male.
Fraudulent claims constitute 24.7% of the reports, suggesting a critical area for closer scrutiny and preventive measures. The breakdown of incident severity over different periods shows the most frequent incidents occur in the afternoon and during the night, with minor damages being the most common type of claim.
The monthly injury claims by severity and vehicle claims by incident type and severity sections provide trends over time, offering insights into the frequency and nature of claims, essential for understanding risk factors and planning appropriate interventions.
Lastly, the geography of claims in cities visualizes the distribution of incidents, identifying high-risk areas and potentially influencing strategic decisions regarding regional focus and resource allocation.
In summary, the dashboard serves as a vital tool for monitoring insurance claim dynamics, providing actionable insights to optimize claim handling, fraud prevention, and financial management within the company.

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Posted Jun 29, 2026

Developed an analytics dashboard for an insurance company to monitor claims and optimize financial management.