When: Sep 13, 2017 11:00 AM
Ticket Price: $0.00
Big Data is the big talk these days as computing power and information access has advanced dramatically over the last decade. And there is no better big data than in the text running through our business processes that can be used to detect signs of fraudulent behavior. From general ledger descriptions to Emails and customer web surveys, text abounds yet analytics are few in usage. In this informative webinar, we will discuss how to go beyond key word searches to maximize the use of textual data in your organization.
Specific learning objectives include:
o Explain the tabulated list key words, trends, and top words being considered so attendees can learn to prioritize their key words list depending on the completed review.
o See how the Fraud Triangle can be paired with textual analysis to develop an associated fraud rating of transactions and people associated with the transactions.
o Use word summary programs to look at trends by enterer, date, and location.
o Apply the Benford’s Law of Words or rather letter analytics on common data fields like invoice numbers and journal entry descriptions to identify those most prone to fraud.
o Learn how to visualize the output in graphs and word clouds to ease review and any selections from the analysis.
CPE: 2 Credits
Program Level / Prerequisites and Advance Preparation: Basic / None
Delivery Method: Group Internet Based
Category: Specialized Knowledge and Applications
Cost: Individual: $0 for Subscribers and Site License Users
Free Limited seating with preference for Registered AuditNet Subscribers (excluding free) and Site License Users.
AuditNet LLC is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.