Group Study - Audit, Fraud Detection and Cash Recovery Using ActiveData for Excel

Group Study - Audit, Fraud Detection and Cash Recovery Using ActiveData for Excel

A private group course: Audit, Fraud Detection and Cash recovery using ActiveData For Excel is a private group course that has been developed by leading audit and fraud detection software experts Richard Lanza and Michelle Shein.

What you get: You get hands on instruction in how to apply ActiveData For Excel to critical audit, fraud detection and cash recovery techniques which can be used in your day to day work environment.

Course Duration: 1 day (8 hours)

CPE Credits: 8 (Pending)

Cost: Available upon request (for a maximum of 12 participants per session).

Customization: This course can be customized to meet your specific needs; cost of customization will be based on standard hourly rates for course development.

Prerequisites: None, although it is highly recommended that participants have had some exposure to the software.

About the Course

The purpose of this course is to assist auditors, fraud examiners, and management in implementing audit data analysis routines, and fraud detection and cash recovery techniques using ActiveData For Microsoft Excel.

For accountants and auditors, Microsoft Excel provides a comfortable environment to work within and for many data analysis tasks, Excel can easily do the job. However when more complex data analysis and manipulation is needed, as is the case with fraud detection and cash recovery, more complex tools and techniques are needed. This is where the combination of Excel and ActiveData creates dramatic results.

This course will:

  • Introduce you to the powerful combination of ActiveData and Excel
  • Walk you through basic audit, fraud detection and cash recovery reporting concepts
  • Map out each step for the most common of fraud detection, cash recovery and audit tests
  • Equip you with sample data, providing a glimpse of the resulting report prior to the (crunch time) situation
  • Suggest audit procedures and fraud detection to perform on the resulting reports

This course will give you all the information you need to produce fraud detection, cash recovery and audit reports immediately for the most common accounting areas: accounts payable, accounts receivable, and the general ledger. To help practice the concepts, sample data are also provided, giving you an immediate "hands on" experience

CLICK HERE for a copy of the course brochure.

NOTE: This is a hands-on course. Companies will be responsible for providing a room with computers or laptops with a copy of Excel 2000 or above loaded. Copies of ActiveData for Excel and Sample Data will be loaded before the course.

For more information regarding administrative policies such as complaint and refund, please contact our offices at (613) 569-4675

Get more information about ActiveData

A Must-Have Excel Tool for data analysis, accounting, audit, financial, fraud detection and superior control over your corporate data.

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Quickly analyze your data

 Summarize data by groups
 Perform complex age analysis
 Detect gaps and duplicates
 Quickly find statistical information

Save time manipulating data within your worksheets

 Merge data in worksheets
 Split out data by dates or groups
 Create new datasets through queries

Manage your Excel workbooks and worksheets efficiently

 Index Worksheets
 Index Workbooks
 Navigate Workbooks

Perform powerful data analysis techniques

 Perform complex data stratifications
 Detect fraud with Benford's law

Training and Services

We provide CPE accredited self study and group training for data analysis professionals.

We also provide customization and consultancy services.

Contact us to find out more.

Useful Links

Links to great online Excel and auditing resources

   Business
   Accountants
   Auditors
   SOX Compliance
   Fraud Examiners
   Forensics
   Government
   Education
   Insurance
   Banking

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Analyze millions of rows quickly. Powerful data analysis for audit, fraud detection, control and continuous monitoring.

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