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#254 - Pamela S. Mantone (Using Analytics to Detect Possible Fraud)

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Manage episode 417558413 series 3426371
תוכן מסופק על ידי Mike Fallat. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Mike Fallat או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Mike interviews Pamela Mantone.
Welcome to our podcast series, where we embark on an investigative journey into the world of fraud detection through the insights of Pamela S. Mantone's illuminating book, "Using Analytics to Detect Possible Fraud." Join us as we delve into the intricate landscape of financial fraud, uncovering the power of analytics to identify and prevent deceptive practices.
In "Using Analytics to Detect Possible Fraud," Pamela S. Mantone provides a comprehensive guide to leveraging data analytics in the fight against fraud. Drawing on her extensive experience as a forensic accountant and fraud investigator, Mantone offers practical strategies and techniques for analyzing financial data to detect suspicious patterns and anomalies.
At the heart of Mantone's approach is the recognition that traditional methods of fraud detection are no longer sufficient in today's increasingly complex business environment. With the proliferation of digital transactions and the globalization of markets, fraudsters have become more sophisticated in their methods, making it imperative for organizations to adopt advanced analytics techniques to stay ahead of the curve.
Throughout the podcast series, we'll explore key concepts from "Using Analytics to Detect Possible Fraud" and examine their application in real-world scenarios. From data mining and predictive modeling to anomaly detection and machine learning, each episode will offer insights into the latest tools and techniques for identifying fraudulent activity.
Join us as we dissect Mantone's groundbreaking work, shedding light on the hidden indicators of fraud and the strategies for uncovering them. Through engaging discussions, expert interviews, and case studies, we'll explore the challenges and opportunities in fraud detection and prevention, and empower organizations to safeguard their assets and reputation.
Whether you're a forensic accountant, auditor, or business leader, this podcast series invites you to join the conversation and deepen your understanding of fraud detection in the digital age. Through Mantone's expert guidance, we'll explore the evolving landscape of financial crime and equip listeners with the knowledge and skills they need to combat fraud effectively.
So, tune in to our podcast series and embark on a journey of discovery as we unravel the mysteries of fraud detection with "Using Analytics to Detect Possible Fraud" by Pamela S. Mantone. Get ready to harness the power of data analytics to safeguard against deception and uphold the integrity of our financial systems.
Follow Mike Fallat on Instagram, Facebook, Truth, Tik Tok, Twitter, and Linkedin.
Visit https://dreamstarterspublishing.com to publish your book today!

  continue reading

294 פרקים

Artwork
iconשתפו
 
Manage episode 417558413 series 3426371
תוכן מסופק על ידי Mike Fallat. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Mike Fallat או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Mike interviews Pamela Mantone.
Welcome to our podcast series, where we embark on an investigative journey into the world of fraud detection through the insights of Pamela S. Mantone's illuminating book, "Using Analytics to Detect Possible Fraud." Join us as we delve into the intricate landscape of financial fraud, uncovering the power of analytics to identify and prevent deceptive practices.
In "Using Analytics to Detect Possible Fraud," Pamela S. Mantone provides a comprehensive guide to leveraging data analytics in the fight against fraud. Drawing on her extensive experience as a forensic accountant and fraud investigator, Mantone offers practical strategies and techniques for analyzing financial data to detect suspicious patterns and anomalies.
At the heart of Mantone's approach is the recognition that traditional methods of fraud detection are no longer sufficient in today's increasingly complex business environment. With the proliferation of digital transactions and the globalization of markets, fraudsters have become more sophisticated in their methods, making it imperative for organizations to adopt advanced analytics techniques to stay ahead of the curve.
Throughout the podcast series, we'll explore key concepts from "Using Analytics to Detect Possible Fraud" and examine their application in real-world scenarios. From data mining and predictive modeling to anomaly detection and machine learning, each episode will offer insights into the latest tools and techniques for identifying fraudulent activity.
Join us as we dissect Mantone's groundbreaking work, shedding light on the hidden indicators of fraud and the strategies for uncovering them. Through engaging discussions, expert interviews, and case studies, we'll explore the challenges and opportunities in fraud detection and prevention, and empower organizations to safeguard their assets and reputation.
Whether you're a forensic accountant, auditor, or business leader, this podcast series invites you to join the conversation and deepen your understanding of fraud detection in the digital age. Through Mantone's expert guidance, we'll explore the evolving landscape of financial crime and equip listeners with the knowledge and skills they need to combat fraud effectively.
So, tune in to our podcast series and embark on a journey of discovery as we unravel the mysteries of fraud detection with "Using Analytics to Detect Possible Fraud" by Pamela S. Mantone. Get ready to harness the power of data analytics to safeguard against deception and uphold the integrity of our financial systems.
Follow Mike Fallat on Instagram, Facebook, Truth, Tik Tok, Twitter, and Linkedin.
Visit https://dreamstarterspublishing.com to publish your book today!

  continue reading

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