What is Data Quality?
Think of data quality like grading a school project. Just like your teacher checks if you:
Got the facts right (Accuracy)
Like checking if 2+2=4, not 5
Filled in all sections (Completeness)
No blank answers or missing pages
Turned it in on time (Timeliness)
Not using last year's data for this year's report
We test our mutual fund data the same way - checking 17 different things to make sure investors get reliable information!
How We Test Data Quality
1
Accuracy Test: "Is this fund ID real?"
VALID: CIK 0001234567890
✗ INVALID: CIK ABC123
✗ INVALID: CIK 12345
Result: We test 25,234 funds → 24,856 pass (98.5%) PASS
2
Completeness Test: "Did you fill everything out?"
PASS Fund Name: "Vanguard 500 Index"
PASS Manager: "Vanguard Group"
PASS Assets: $850 Billion
✗ Fund Type: [BLANK]
Result: We test 25,234 funds → 25,032 have all required fields (99.2%) PASS
3
Logic Test: "Does the math add up?"
Fund says: "We manage $100 billion"
Holdings add up to:
Apple Stock: $15B
Microsoft: $12B
Amazon: $10B
+ 497 others: $61B
Total: $98B (within 10% PASS)
Result: 17,914 out of 19,304 funds pass the math check (92.8%) PASS
Overall Quality Score
96.5%
That's an A+ Grade!
500K+
Data Points Checked
Detailed Quality Breakdown
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Data Quality by Country
Compare data quality metrics across different countries. Track fund coverage, holdings data, and bilingual completeness.
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