Description: Keywords in descriptions, comments, and communications can indicate serious control risks or attempts at fraud. Add keyword searches to your skillset and learn how to automate them.
Learning Objectives: In this session, we’ll learn about the data you should target for searches, the many ways to search for keywords, and which keywords to look for. Demonstrations of the various analytical techniques will help you grasp the best practices for deployment.
Description: Once you’ve identified your exceptions, it’s important to know if their frequency distribution matches the original population. For instance, you may find that one vendor represents 35% of your exceptions. Is this out of line with the vendor’s share of the original population? What other characteristics can tell you if your control failures are agnostic or suspiciously concentrated?
Learning Objectives: We’ll take a look at what data characteristics are worth examining for potential concentrations and how to integrate them into your analytics. The processes that will be demonstrated can be readily carried out in almost any analytical application.
Join us on December 10, 2020
Time: 10:00 am -11:00 am PST / Registration Closes at 9:00 am PST
CPE: 1.0 CPE Credit
Program Level / Prerequisites and Advance Preparation: Basic / None