B
Evidence Grade B
Graded
under review
Safe to Cite
Recent
20%
20% -- operational cost reduction for financial institutions (2025)
Attribution:
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Lighthouse Research Team
Last verified:
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Source verified
Evidence graded
Value
20%
Unit
Percentage
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
50
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
Source
McKinsey
Primary
Tier C
https://www.fci-ccm.com/blog/from-fragmentation-to-unification-overcoming-data-silos-and-integration… ↗
Source Article
Overcoming Data Silos in Financial Data Management
In the current age of data-centric business operations, the financial services industry faces a pressing challenge: handling vast amounts of data that are often scattered across different systems, platforms, and departments. This fragmentation, known as data silos, not only hampers the operational e…
Original Research
McKinsey
· Original study ↗
Methodology
McKinsey report as cited by FCI
Methodology documented
Segmentation
Industrymarketing
Cite this stat
Plain Text
financial institutions: 20% operational cost reduction. Source: McKinsey (2025). Via Lighthouse Intelligence -- https://lighthousedata.io/data/financial-institutions-operational-cost-reduction-data-integration
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<blockquote cite="https://lighthousedata.io/data/financial-institutions-operational-cost-reduction-data-integration" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>20%</strong> -- operational cost reduction for financial institutions<br><small>Source: McKinsey (2025) · <a href="https://lighthousedata.io/data/financial-institutions-operational-cost-reduction-data-integration" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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