DETECTING THE UNDETECTED FRAUD DETECTION ANALYTICS AT CARNIVAL

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DETECTING THE UNDETECTED – FRAUD DETECTION ANALYTICS AT CARNIVAL Daniel Bukowski, CPA, CIA, CFE

DETECTING THE UNDETECTED – FRAUD DETECTION ANALYTICS AT CARNIVAL Daniel Bukowski, CPA, CIA, CFE #ALTERYX 18

AGENDA • Carnival Background • Data Analytics for Internal Audit • Identifying Non-PO Vendor

AGENDA • Carnival Background • Data Analytics for Internal Audit • Identifying Non-PO Vendor Risk • Alteryx Workflows • Questions #ALTERYX 18

CARNIVAL CORPORATION&PLC #ALTERYX 18

CARNIVAL CORPORATION&PLC #ALTERYX 18

APPLICATION OF DATA ANALYTICS Compliance Fraud Detection and Investigation Operational Performance Internal Controls Stippich,

APPLICATION OF DATA ANALYTICS Compliance Fraud Detection and Investigation Operational Performance Internal Controls Stippich, W. W. , & Preber, B. J. (2016). Data Analytics: Elevating Internal Audit’s Value. Altamonte Springs, FL: IIA Research Foundation #ALTERYX 18

IIA RESEARCH #ALTERYX 18

IIA RESEARCH #ALTERYX 18

THE AUDITOR MINDSET #ALTERYX 18

THE AUDITOR MINDSET #ALTERYX 18

THE AUDITOR MINDSET #ALTERYX 18

THE AUDITOR MINDSET #ALTERYX 18

THE AUDITOR MINDSET You want to take my Excel…? Alter This! #ALTERYX 18

THE AUDITOR MINDSET You want to take my Excel…? Alter This! #ALTERYX 18

‘ALTER’ THE AUDITOR MINDSET Auditors Alteryx Excel #ALTERYX 18

‘ALTER’ THE AUDITOR MINDSET Auditors Alteryx Excel #ALTERYX 18

NON-PO VENDOR RISK REVIEW Project Goal • Identify the highest-risk vendors within the vendor

NON-PO VENDOR RISK REVIEW Project Goal • Identify the highest-risk vendors within the vendor populations of each Carnival operating company Alteryx • Convert manual, sample-based procedures into an automated, repeatable workflow that analyzes entire populations 2017 Scope • 10 k vendors, 275 k invoices, $2 bn+ spend #ALTERYX 18

NON-PO VENDOR TESTS VENDOR SETUP • • New Vendor Single-Approval Payment Terms High-Risk Country

NON-PO VENDOR TESTS VENDOR SETUP • • New Vendor Single-Approval Payment Terms High-Risk Country • PO Box INVOICES PAYMENTS • Vendor Total Over $250 k • Sequential Invoices • Round Dollar Amounts • Invoice Structuring • Quick Payment • Payment Date Anomalies • Payment Currency Different from Invoice Currency #ALTERYX 18

ALTERYX WORKFLOWS #ALTERYX 18

ALTERYX WORKFLOWS #ALTERYX 18

VENDOR RISK TESTS #ALTERYX 18

VENDOR RISK TESTS #ALTERYX 18

RISK-RANKED VENDORS USD Invoices Count Invoices Risk Score Over 250 k Paid Prior Paid

RISK-RANKED VENDORS USD Invoices Count Invoices Risk Score Over 250 k Paid Prior Paid 5 Days PO Box Alfa Co 9316261. 66 493 8 1 1 1 002 Beta Co 300500. 48 136 8 1 1 1 003 Charlie Co 9594836. 42 36 8 1 1 004 Delta Co 92241948. 1 1912 7 1 1 1 005 Echo Co 36927486. 61 617 7 1 1 006 Foxtrot Co 31604220. 34 333 7 1 007 Golf Co 18490591. 63 315 7 008 Hotel Co 4988327. 49 81 009 India Co 2003396. 37 010 Juliett Co 9019192. 2 Num Name 001 Round Amt Str Country New Vendor Single Approve Terms Seq Inv Diff Currency 0 0 0 1 1 0 1 0 1 0 0 1 1 1 0 0 1 0 1 1 0 0 0 1 1 1 0 0 0 1 1 0 7 1 1 1 0 0 0 1 1 0 220 7 1 1 1 0 0 0 1 1 0 34 6 1 1 1 0 0 1 1 0 #ALTERYX 18

CLUSTER ANALYSIS • Unsupervised machine learning • Identify latent relationships in the data •

CLUSTER ANALYSIS • Unsupervised machine learning • Identify latent relationships in the data • Principle components • Identify outliers #ALTERYX 18

Cluster 8 Centroid Cluster 8 #ALTERYX 18

Cluster 8 Centroid Cluster 8 #ALTERYX 18

CLUSTER ANALYSIS Cluster Count Max Risk Max Spend 1 82 5 26, 08, 4241

CLUSTER ANALYSIS Cluster Count Max Risk Max Spend 1 82 5 26, 08, 4241 2 167 7 16, 508, 885 3 103 6 4, 608, 229 4 166 3 1, 298, 521 5 155 3 23, 240, 215 6 42 5 1, 007, 702 7 201 4 8, 978, 925 8 10 8 92, 241, 948 #ALTERYX 18

SUMMARY Data analytics with Alteryx enables internal audit to: • Do more, faster •

SUMMARY Data analytics with Alteryx enables internal audit to: • Do more, faster • Share processes visually • Automate manual processes • Analyze data at a greater level of detail • Focus manual procedures on the most important areas #ALTERYX 18

THANK YOU Daniel J Bukowski dbukowski@carnival. com www. linkedin. com/in/danieljbukowski Please complete a feedback

THANK YOU Daniel J Bukowski dbukowski@carnival. com www. linkedin. com/in/danieljbukowski Please complete a feedback survey! #ALTERYX 18

NON-PO VENDOR RISK REVIEW Prep Invoice Data Perform Risk Tests Aggregate Results Select High.

NON-PO VENDOR RISK REVIEW Prep Invoice Data Perform Risk Tests Aggregate Results Select High. Risk Vendors Manual Audit Procedures #ALTERYX 18

NON-PO VENDOR TESTS Risk Test Description SINGLE-APPROVAL VENDORS • Vendors with invoices approved by

NON-PO VENDOR TESTS Risk Test Description SINGLE-APPROVAL VENDORS • Vendors with invoices approved by only a single HA Group executive NEW VENDORS • Vendors that have creation dates within the previous 12 months VENDOR BASED IN HIGH-RISK COUNTRY • Vendor located in a high-risk country, defined as a country in the lower 50% of the Transparency International Corruption Perceptions Index VENDOR ADDRESS IS A PO BOX • Identify vendors with a PO Box as the address on-file ROUND DOLLAR AMOUNTS • Identify vendors with multiple invoices that end in round amounts (00 or 50) INVOICE STRUCTURING • Vendors with non-PO invoices just below defined thresholds ($5 k, $10 k, $25 k, $50 k, $100 k) SEQUENTIAL INVOICES • Identify vendors that have submitted three sequential invoices PAYMENT DATE ANOMALIES • Identify invoices with date anomalies (i. e. , payment before invoice date, payment before approval date) PAYMENT TERMS • Identify vendors with system payment terms of seven days or fewer QUICK PAYMENT • Identify vendors with invoices actually paid within five days of invoice date OVER $250 K OF INVOICES • Identify vendors from which HAL, PCL, or CAU has received more than $250, 000 of invoices during the time period, for materiality • Identify instances where the invoice currency and payment currency are different INVOICE CURRENCY AND PAYMENT CURRENCY DIFF. #ALTERYX 18

NON-PO VENDOR RISK REVIEW Project Goal: Identify the highest-risk vendors within the vendor populations

NON-PO VENDOR RISK REVIEW Project Goal: Identify the highest-risk vendors within the vendor populations of each Carnival operating company Alteryx: Convert manual, sample-based procedures into an automated, repeatable workflow that analyzes entire populations 2017 Scope: 10 k vendors, 275 k invoices, over $2 bn spend #ALTERYX 18