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Data Analytics in Audit
Data Analytics in Audit
Our team disposes in-depth knowledge and expertise in Enterprise Resource Planning (ERP) systems (for example: SAP, Oracle) and international experience in the use of data analytics technics, which, combined with the knowledge of almost all sectors environment and processes, add high value to the audit.
OUR DATA ANALYTICS TECHNICS COVER
OUR DATA ANALYTICS IS BASED ON ADVANCE TECHNOLOGIES AND SOLID METHODOLOGIES. IT ALLOWS AN EFFECTIVE AND SCALABLE TRANSLATION FROM RAW DATA INTO USEFUL INSIGHTS.
Over the years after countless field testings and user case buildings, we have acquired extensive knowledge in deploying our data analytics in the following practices:
TEST PROCESS ROBUSTNESS
Data analysis can be used to test process robustness based on reconciliations of data flows and interfaces between systems
ANALYSE PROCESSES INTEGRITY
Verification of automated calculation, for example accrual booking and revenue recognition calculation
DETECTION OF ERROR OR FRAUD
Data analytics are also extensively used in error or fraud detection in the following aspects:
- Analysis of transactions unusual for normal business operations
- Identification of suspicious vendors in account payables process
- Sales and revenue assurance
- Journal Entries Testing for posting analyse and identification of patterns, anomalies and exceptions that could indicate potential erroneous or fraudulent activity
FORENSICS
Data analytics is also used in Forensic to interrogate and scrutinise large volumes of structured data to identify fraud and irregularities for further forensic analysis
Do you have any questions for us about Data Analytics in Audit?
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