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Audit 4
Use Case

Fraud Detection with Alteryx One

Every missed signal can cost millions. Alteryx One unifies data and automates analytics to shift from sample reviews to always-on fraud surveillance — detecting issues faster, documenting consistently, and proving controls work with confidence.

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Unlock Better Outcomes in Fraud Detection

Fraud schemes thrive when systems don’t connect, and the damage escalates quickly. Across industries, organizations lose an estimated 5% of annual revenue to fraud (nysscpa). Most finance teams juggle ERP, HRIS, payroll, and banking data that rarely align. Without a unified view, investigations are narrow, often missing duplicate invoices, collusive networks, or subtle anomalies until it’s too late. By normalizing these sources and surfacing outliers, Alteryx One gives auditors confidence that they can see, document, and stop risks early.

Fragmented systems

Disconnected ERP, HR, and banking feeds make it nearly impossible to track fraud across silos.

Manual investigations

Spreadsheet-driven checks lack transparency and slow down investigators.

Overwhelming false positives

Analysts lose time dismissing noise instead of addressing real threats.

Audit blind spots

Sampling methods leave large gaps between review windows.

Weak documentation

Missing logs undermine defensibility with auditors and regulators.

 

How Alteryx One Powers This Use Case

Instead of chasing fraud with scattered reports, teams bring ERP, HR, payroll, and banking feeds into Alteryx One for cleansing and normalization. Configurable rules flag policy violations while machine learning models adapt to evolving patterns. Alerts are risk-scored, routed, and logged with full evidence trails, so auditors collaborate in a transparent workspace. The result is fewer blind spots, sharper investigations, and proactive assurance that stands up to regulators and executives.

 

Integrated data access

Connects fragmented finance, HR, and banking systems into a single fraud-ready dataset

Automated workflows

Streamlines rule checks, case routing, and evidence capture without manual effort

Advanced analytics & AI

Surfaces subtle anomalies and collusion with ML and network analysis

Governance

Creates transparent, defensible audit logs that strengthen regulator confidence

 

From Data to Business Value: How It Works

Your data inputs
  • ERP, payroll, HRIS, P-card, and bank feeds that don’t align
  • Vendor master files containing employees, suppliers, and sanction lists
  • Policy definitions like duplicate invoice thresholds or vendor master changes
What Alteryx does
  • Reconciles entities like employees and vendors across systems
  • Applies configurable rules for duplicate invoices, split payments, and off-hours activity
  • Runs anomaly detection and retrains models to adapt to drift
  • Maps collusion networks through shared identifiers
  • Automates alert routing, case management, and audit logs
How it works for you
  • Investigators see unified alerts instead of scattered spreadsheets
  • Analysts tune thresholds to reduce false positives and improve trust
  • Audit teams collaborate in secure workspaces with clear evidence trails
  • Executives gain confidence from proactive, documented fraud assurance
 

Business value & ROI

Fraud detection cycles shrink from days to hours with automation

Early anomaly detection reduces the scale of potential losses

Audit-ready logs strengthen compliance and regulator trust

Teams focus on true risks instead of chasing false positives

 

How Teams Like Yours Turned Challenges into Success

MUFG Bank cut fraud data preparation time by over 90%, accelerating investigations


“We believe we’ll be able to combat financial crimes more profoundly and broadly by using Alteryx functions across our fraud programs.”

Yuji Matsuura, Intelligence & Analytics Director, MUFG Bank, Ltd.

 
 

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Why Choose Alteryx One?

 

What Are the Fraud Detection Capabilities Unlocked with Alteryx One

 
Unified data normalization

Connect ERP, HR, payroll, and banking systems into a single reconciled dataset. This matters because teams finally see the full scope of potential fraud.

 
Configurable rules engine

Provide flexible thresholds, allowlists, and suppressions for detecting duplicate invoices and anomalies. Teams reduce noise while strengthening defenses.

 
Anomaly detection & ML

Apply supervised models and retraining to adapt to fraud drift. This ensures evolving patterns are caught early, minimizing losses.

 
Graph & network analysis

Reveal shared accounts and contact details to expose collusive networks. This capability uncovers fraud rings hidden from traditional audits.

 
Automated case management

Route alerts, generate evidence, and preserve audit-ready logs. That transparency builds defensibility and earns regulator confidence.