tunmiseiwayemi-a11y/Global-Scams-and-Financial-Fraud-Analysis
Domain:
socioeconomicRecord type:
dataset
Creator:
tun
Host:
Global Scams and Financial Fraud Analysis is a collaborative data analytics project examining financial fraud patterns from both a broader fraud-reporting perspective and a Nigeria-specific survey perspective
Primary Analysis: Financial Fraud Analysis
Secondary Analysis: Global Scams and Financial Fraud Analysis
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Technical Report
A mixed-scope data analytics project combining a Canadian fraud-reporting dataset with a Nigeria-focused financial scam awareness survey.
Project type: Collaborative data analytics project
Primary technologies documented in the source report: Microsoft Excel / Power Query and Microsoft Power BI
Project period documented in the source: April–May 2026
Project status: Completed within the documented project timeline
1. Project Overview
1.1 Executive Summary
Primary Analysis: Financial Fraud Analysis
Secondary Analysis: Global Scams and Financial Fraud Analysis
The Global Scams and Financial Fraud Analysis project analyses financial fraud and scam patterns from two complementary perspectives: a broad fraud-reporting dataset and a Nigeria-specific primary survey. The purpose of combining the sources was to examine fraud volume, financial impact, fraud categories, demographic exposure, geographic reporting patterns, awareness, reporting behaviour, contact channels and prevention preferences.
The secondary dataset was obtained from the Canadian Anti-Fraud Centre (CAFC) Fraud Reporting System through the Government of Canada open-data environment. It covers reported fraud incidents from 2021 to 2025 and supports analysis across fraud categories, complaint volumes, financial losses, countries, victim age groups and reporting behaviour. Because the source is a reporting system and is strongly concentrated in Canada and the United States, the results are interpreted as patterns in reported fraud rather than a complete measure of global fraud prevalence.
The primary dataset was collected through a survey of individuals in Nigeria. The survey captured scam exposure, awareness, confidence in identifying scams, financial loss brackets, reporting behaviour, r …