B
Evidence Grade B
Graded
accuracy verified by the review judge
Safe to Cite
Recent
$3,100,000,000,000
$3,100,000,000,000 -- annual cost of poor data quality for US businesses (2025)
Poor data quality costs US businesses $3.1 trillion each year.
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
$3,100,000,000,000
Unit
Currency Usd
Data Vintage
2025
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
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
IBM
Primary
Tier B
https://www.starapps.io/blogs/automated-inventory-management-key-features ↗
Source Article
10 Key Features of Automated Inventory Management for Modern Retail
10 Key Features of Automated Inventory Management for Modern Retail
Discover the top features of automated inventory management that streamline stock control, boost accuracy, and improve profitability for modern businesses.
Inventory problems don’t arrive all at once; they build quietly. One missed …
Original Research
IBM
· Original study ↗
Methodology
Cited from IBM research on poor data quality costs
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
US businesses: $3,100,000,000,000 annual cost of poor data quality. Source: IBM (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/poor-data-quality-cost-us-businesses
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<blockquote cite="https://lighthousedata.io/data/poor-data-quality-cost-us-businesses" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>$3,100,000,000,000</strong> -- annual cost of poor data quality for US businesses<br><small>Source: IBM (2025) · <a href="https://lighthousedata.io/data/poor-data-quality-cost-us-businesses" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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