This video is Part 1 of a 3-part series introducing the use of IDEA as a tool for data analytics. In Part 1 Scott Jones explains the objectives of data analytics, the advantages of data analytics software and why working with complete populations is preferred over sampling. He also demonstrates how to import source data and how to begin an IDEA project.
In Part 2 of this data analytics webinar, Scott Jones explains how to use IDEA to discover indicators of fraud in a population of data. Working with a fraud case study, Scott demonstrates the use of summarization, sorting, filtering, joining, and other tools to find repetitive anomalies in the data.
In Part 3 of this 3-part webinar, Scott Jones explains how to use the History information in IDEA to easily create custom scripts to reperform simple or complex audit tasks, or entire audit procedures. There is also a demonstration of the use of SMARTANALYZER - a package of pre-programmed scripts for common financial and audit functions.