B
Evidence Grade B
Graded
under review
Safe to Cite
Current
40%
40% -- profit increase from ml fraud prevention for Capgemini (2026)
Attribution:
View source
Lighthouse Research Team
Last verified:
·
How we verify data →
Source verified
Evidence graded
Value
40%
Unit
Percentage
Data Vintage
2026
Entity
Evidence Quality
B
Strong, reliable evidence
Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.
Single source - not yet corroborated
Score breakdown
Extraction
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
amazinum.com
Primary
Tier C
https://amazinum.com/insights/fraud-detection-in-e-commerce/ ↗
Source Article
Fraud Detection in E
Original Research
amazinum.com
· Original study ↗
Methodology
Single-company case study of CPP Fraud Analytics ML software, cited secondhand
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
Capgemini: 40% profit increase from ml fraud prevention. Source: amazinum.com (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/capgemini-ml-fraud-profit-40pct
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<blockquote cite="https://lighthousedata.io/data/capgemini-ml-fraud-profit-40pct" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>40%</strong> -- profit increase from ml fraud prevention for Capgemini<br><small>Source: amazinum.com (2026) · <a href="https://lighthousedata.io/data/capgemini-ml-fraud-profit-40pct" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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