Continuous Intelligence¶
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How-To Guide¶
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Project Documentation Pages (docs/)¶
- Home - this documentation landing page
- Project Instructions - instructions specific to this module
- Glossary - project terms and concepts
Additional Resources¶
Custom Project¶
Dataset¶
Daily financial transaction records from a bank, including total transactions processed, flagged suspicious transactions, and total dollar volume per day (50 observations).
Signals¶
- flag_rate: ratio of flagged to total transactions — detects fraud burst events
- avg_amount_usd: average dollar value per transaction — detects unusual spending patterns
Experiments¶
Pipeline that uses financial transaction data and with thresholds to match the financial domain: flag rate capped at 1% and average transaction amount at $160.
Results¶
The pipeline returned a DEGRADED state. Average flag rate was 1.44%, slightly above the 1% threshold, driven by a handful of days with major fraud spikes (300+ flagged transactions).
Interpretation¶
The bank's transaction system is under stress from periodic fraud bursts. Even though most days are normal, a few high-fraud days are enough to degrade the overall assessment.