The views expressed are the personal views of the presenter and do not reflect those of the PCAOB, members of the Board, or the PCAOB staff.

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Presentation transcript:

The views expressed are the personal views of the presenter and do not reflect those of the PCAOB, members of the Board, or the PCAOB staff.

Developments in Technology and Data Analytics PCAOB International Institute Panel Discussion December 8, 2017 Martin Baumann, Chief Auditor

Overview Current uses of data analytics Emerging technologies Potential impact on standards Task force Data security implications

Definition Data analytics, when used to obtain audit evidence in a financial statement audit, is the science and art of discovering and analyzing patterns, deviations and inconsistencies, and extracting other useful information in the data underlying or related to the subject matter of an audit through analysis, modeling and visualization for the purpose of planning or performing the audit. AICPA, Audit Analytics and Continuous Audit: Looking Toward the Future

Current Uses of Data Analytics Risk assessments Substantive procedures

Risk Assessment Observed uses similar to FRC Analyses are both more granular and broader (100% of a population) Deeper knowledge gained allows for more focused and targeted procedures

Substantive Procedures Analysis of whole population permits selections based on risk – not just random One firm asserts it analyzes 100% of an investment portfolio looking for many attributes (e.g., valuation, recent trades, liquidity, hand-pricing) and plots results on heat map

Emerging Technologies Artificial intelligence Contract review (e.g., software sales, leases) AI could compare an entire set of electronic documents and pull out data that identifies potential side agreements, contract modifications, and which agreements have similar provisions Blockchain Some companies are implementing blockchain into their enterprise resource planning (ERP) systems Payment processing Commodities trading Procurement and supplier management Audit implications

Potential Impact on Standards Research team is exploring whether changes to standards or guidance is needed Economic analysis underway Quality control considerations

Task Force – Overview Support the work of the PCAOB research team Provide insights on Relevant end-to-end audit processes How standards are applied Information needs of audit committees and investors Expertise needed

Task Force – Potential Topics Journal entry testing 100% analysis: approach to outliers and non-outliers Data analytics as alternative to sampling Data analytics and significant risks Artificial intelligence Blockchain technology

Data Security Implications Cybersecurity risks may create barriers to auditor use of data analytics Recent Big 4 security breach Impact on companies’ willingness to allow auditors to store their data