– Assessments of a company’s trustworthiness are crucial for investors.
– Time and resource constraints make it challenging to thoroughly evaluate companies through traditional methods.
– Trusting your gut instincts is not a reliable way to detect fraud or deception.
– Auditors’ techniques focus mainly on numerical data and may not capture text-based information.
– Natural language processing (NLP) can analyze verbal content and estimate the credibility of written documents.
– Computers have shown higher success rates in detecting deception in text compared to humans.
– Text-based analysis can provide significant cost and time savings while accurately detecting fraud and deception.
– Deception and Truth Analysis (D.A.T.A.) is a computer-driven analysis that examines language fingerprints to determine the truthfulness of company communications.
– D.A.T.A. has shown high deception detection accuracy rates and the ability to prevent fraud and outperform the market.
Finance professionals can benefit from leveraging computer-driven text-based analysis to detect fraud and deception, saving time, resources, and improving investment decisions.
