Training Registration

Contemporary Financial Investigation 2022
On Demand
Duration: 100 Minutes

Recorded on April 19, 2022

This training is intended for U.S. Criminal Justice Practitioners. Please register using your agency-issued email.

Fast illicit money movement requires financial investigators to use technology-driven techniques in order to produce rapid results. In today’s digitized global environment, a case requires the collection of thousands of transactions from various documents – bank statements, check images, transfers, and more.

Join this webinar to learn the essential techniques for processing large data sets for your financial investigation cases. The ScanWriter Team will give a live demonstration using real case examples. The highlights of this training session include how to:   

• Capture hand printed and computer font data from various document types, such as, bank statements, check images, deposit slips, withdrawal slips, forms, and more. 

• Automate the document collation, data enrichment, and data verification to build a successful work plan strategy for your case

• Create an audit trail that instantly allows you to verify and substantiate the data with the source document

• Integrate multiple data sets, including bank statements, check images and deposit slips, to produce a comprehensive Excel Spreadsheet

Personable will offer attendees a free pilot. Click here to learn more.

Presented by:
Michelle Dulog, Marketing Manager, ScanWriter

This webinar is sponsored by ScanWriter. NW3C is providing the webinar so that attendees can have more information with which to evaluate how this capability might add value to them and the organizations they serve.

NW3C does not share webinar attendees’ personally identifiable information with any third party without opt-in consent given during registration.

The content, views, and opinions expressed in this presentation are those of the individual presenters and do not represent official policy, position, opinions, or views of NW3C.

This webinar will be removed March 27, 2023.



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