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Practical Fraud Prevention - Fraud and AML Analytics for Fintech and eCommerce, using SQL and Python (Paperback) Loot Price: R1,156
Discovery Miles 11 560
You Save: R159 (12%)
Practical Fraud Prevention - Fraud and AML Analytics for Fintech and eCommerce, using SQL and Python (Paperback): Gilit...

Practical Fraud Prevention - Fraud and AML Analytics for Fintech and eCommerce, using SQL and Python (Paperback)

Gilit Saporta, Shoshana Maraney

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Was R1,315 Loot Price R1,156 Discovery Miles 11 560 | Repayment Terms: R108 pm x 12* You Save R159 (12%)

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Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their experience of fraud fighting to provide best practices, methodologies, and tools to help your organization detect and prevent fraud and other malicious activities. Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection analytic methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in the ever-changing fraud landscape. With this book, you will: Examine current fraud attacks and learn how to mitigate them Find the right balance between preventing fraud and providing a smooth customer experience Share insights across multiple business areas, including ecommerce and banking Evaluate potential risks for a new vertical, market, or product Train and mentor teams by initiating hackathons and kickstarting brainstorming sessions Get a framework of fraud methods and fraud-fighting analytics

General

Imprint: O'Reilly Media
Country of origin: United States
Release date: April 2022
Authors: Gilit Saporta • Shoshana Maraney
Dimensions: 232 x 178 x 24mm (L x W x T)
Format: Paperback
Pages: 350
ISBN-13: 978-1-4920-9332-9
Categories: Books > Computing & IT > Computer programming > Programming languages > General
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LSN: 1-4920-9332-7
Barcode: 9781492093329

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