Transaction anomaly detection
Automatically identify suspicious transactions or accounting errors using anomaly detection.
+30%
anomalies detected
The problem
No reliable steering on transaction anomaly detection.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Cash and margin impact is hard to quantify.
Prerequisites: required data & tools
Required data
- Grand livre
- écritures comptables
- relevés bancaires
Compatible tools
- Python (Isolation Forest, Autoencoders)
- MindBridge
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 3-6 months
In 3-6 months: Automatically identify suspicious transactions or accounting errors using anomaly detection. with measured impact on anomalies detected.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for transaction anomaly detection
Operational engine for transaction anomaly detection
Steering dashboard with alerts
Action playbook and governance
Expert insight
Strengthens internal control. Particularly useful for multi-site mid-market firms.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Maturity Auditor
Scorecard + roadmap 90 jours pour cadrer la transformation data/AI.
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