Descrizione del corso

Duration of the course: 2 hours

CPE credit: 3

Level of the course: Basic/Adapted to the needs of the company

Prerequisite: None

Anti-fraud financial statement analysis is a process that aims to identify any signs of fraud in a company’s accounting and financial information. This can be done by both internal professionals and external experts.

In the anti-fraud financial statement analysis, various elements of the financial statements are examined, such as the income statement, the cash flow statement and the financial statements, in order to identify any anomalies or inconsistencies that may indicate the presence of fraud.

Some of the most commonly used anti-fraud financial statement analysis techniques include the ratio analysis , trend analysis , benchmarking and comparison with the performance of other companies. In addition, data mining and big data analysis techniques can also be used to identify suspicious patterns or trends. It is important to note that anti-fraud financial statement analysis does not guarantee the detection of all fraud, but it can help identify any warning signs and prevent future fraud.

Who should participate:

• Company owners and managers
• Back office and front office staff
• Personnel in charge of Application Management activities
• Internal and external auditors , CPAs and CAs
• Professionals, teachers and students interested in the anti-fraud sector
• Certified Fraud Examiners and other anti-fraud specialists

Erogazione del Corso

Senapa can organize private courses for companies with a personalized meeting program both virtual and in-house; it is also possible to participate with a one-to-one formula with an individual personalized program.