As organizations grow, so does the amount of data they create and process. While traditional methods of analyzing data to detect and prevent fraud are effective, additional techniques are emerging that can provide insight using unstructured data that has been previously overlooked. One such technique is the use of textual analytics. This data analysis method, used progressively more by organizations, adds value by reducing exposure to risk and aiding in fight against fraud.
Fundamental knowledge of data analysis procedures
Table of Contents
|What Is Data Analysis?
|Types of Data
|What Is Textual Analytics?
|Benefits of Using Textual Analytics
|Challenges Faced When Performing Textual Analysis
|Preparing Data for Textual Analysis
|Keywords and the Fraud Triangle
|Textual Analytics and Email
|Textual Analytics and Social Media
|Combining Textual Analysis Techniques
|Data Privacy and Security
|Using Textual Analytics to Conduct Fraud Risk Assessments
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