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Audit Data Analytics (ADA) is a form of data analytics that focuses on the analysis of financial data to detect fraud, errors, and other irregularities. It is used by auditors to identify potential risks and to provide assurance to stakeholders that financial statements are accurate and reliable. ADA combines traditional audit techniques with advanced analytics to identify patterns and anomalies in financial data. It uses data mining, machine learning, and artificial intelligence to identify potential issues and to provide insights into the financial health of an organization. ADA can also be used to detect fraud and other financial irregularities, as well as to identify areas of potential improvement.
ADA is becoming increasingly important in the field of data analytics, as organizations look to improve their financial reporting and compliance processes. Companies in the market include Deloitte, KPMG, PwC, EY, and Accenture. Show Less Read more
