The Data Sleuth Podcast

The Data Sleuth Podcast


82. Best Evidence: Non-Financial Evidence with Leah Wietholter

August 02, 2023

At the heart of all successful forensic accounting engagements or fraud investigations is the reliance and analysis of evidence. Best circumstantial evidence in a financial investigation are sources of information or data that are furthest removed from the influence of a subject. If you want to ensure that you uncover facts resulting in defensible investigative analyses in your cases, you are in the right place. In this six-part series, Leah Wietholter reviews the most common best evidence data sources in order of reliability by  exchanging seats from host to guest to thoroughly discuss this topic with guest host, Bethany Pigott.


Leah Wietholter, MBA, CFE, PI, CPA is the CEO and founder of Workman Forensics headquartered in Tulsa, Oklahoma. With career aspirations at 12 years old of becoming an investigator, Leah worked for the FBI while completing her accounting undergraduate degree and masters in business administration. After working in public accounting for over two years as a staff tax accountant and forensic accountant, Leah opened Workman Forensics - a firm dedicated to forensic accounting and fraud investigations. Since starting the firm in 2010, Leah has worked over 150 cases providing data-focused solutions resulting in settlements and testifying in both state and federal courts. Read her full bio on the Workman Forensics team page.


The information in today's podcast is just a glimpse of what's inside Leah's book—Data Sleuth: Using Data in Forensic Accounting Engagements and Fraud Investigations. Available on Amazon



RESOURCES MENTIONED IN TODAY’S EPISODE


Order Leah’s book to learn more about best evidence in forensic accounting and financial investigations Data Sleuth on Amazon.


To schedule a discovery call for your group or team to play The Investigation Game Interactive Case Studies visit investigationgame.com.


CONNECT WITH WORKMAN FORENSICS

Connect with Workman Forensics

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